[ECOLOG-L] Post-doc in animal population health / machine learning
Postdoctoral associate in animal population health and/or machine learning Department of Veterinary Population Medicine University of Minnesota The VanderWaal lab is seeking one-two post-docs focused on animal population health (livestock and/or wildlife) and or/machine learning One post-doc is sought to develop and validate models for predicting the spread of livestock pathogens at the landscape level using spatial analysis and machine learning techniques and data on between-farm animal movements and disease incidence. Candidates should be able to demonstrate experience in machine learning and spatial analysis/GIS. A second post-doc is sought to develop approaches to monitor aggregated veterinary diagnostic data over time, including implementing systems to detect anomalies in the data that may indicate emerging health concerns in livestock/wildlife populations. Data sources include working with clinical data from wildlife rehabilitation centers (~14,000 cases per year) or diagnostic data on livestock pathogens. Position: This position/s will be an annually renewable, non-tenure track, 100% time appointment with focus on analytic epidemiology and machine learning. Location: Veterinary Population Medicine Department, College of Veterinary Medicine University of Minnesota Requirements: For both positions, candidates must have completed a Ph.D. degree by start date. Proficiency in programming with R or other programming language is required, and strong organizational, quantitative analysis, and writing skills are necessary. Desired qualifications include excellent oral/written communication; leadership and interpersonal skills; previous experience with machine learning approaches; and demonstrated ability to work in teams. Candidates with a background in epidemiology, veterinary medicine, statistics, management of large datasets, and network analysis will have preference. Duties: 1) Conduct research and provide technical assistance to the PI, students, and trainees on data analysis, and other miscellaneous problems related to epidemiology and/or data analytics. 2) Collect and organize data for research activities. Collaborate with the PI in the generation and testing of research hypotheses and data analysis, writing of papers, grants, and reports, and preparation of presentations and lectures. 3) Participate in laboratory meetings, seminars, graduate and undergraduate lectures, and conferences as needed. 4) Perform miscellaneous duties as assigned by the PI including, but not limited to, ordering supplies and organization and coordination of meetings and projects. 5) Maintain frequent communication with other faculty and collaborators, including potential travel to meet with collaborators and collect data. Salary: Commensurate with experience and qualifications. Start Date: When filled. Application:Apply online at: employment.umn.edu, job number 320146 Review of applications will begin immediately and continue until the position is filled. Applications should include: (1) a cover letter describing research interests and fit with this position, and a possible start date, (2) a curriculum vitae, and (3) and names of three references. Please contact Dr. Kim VanderWaal (k...@umn.edu) for further details. The University of Minnesota is an equal opportunity educator and employer.
[ECOLOG-L] Post-doc in animal population health / machine learning
Postdoctoral associate in animal population health and/or machine learning Department of Veterinary Population Medicine University of Minnesota The VanderWaal lab is seeking one-two post-docs focused on animal population health (livestock and/or wildlife) and or/machine learning One post-doc is sought to develop and validate models for predicting the spread of livestock pathogens at the landscape level using spatial analysis and machine learning techniques and data on between-farm animal movements and disease incidence. Candidates should be able to demonstrate experience in machine learning and spatial analysis/GIS. A second post-doc is sought to develop approaches to monitor aggregated veterinary diagnostic data over time, including implementing systems to detect anomalies in the data that may indicate emerging health concerns in livestock/wildlife populations. Data sources include working with clinical data from wildlife rehabilitation centers (~14,000 cases per year) or diagnostic data on livestock pathogens. Position: This position/s will be an annually renewable, non-tenure track, 100% time appointment with focus on analytic epidemiology and machine learning. Location: Veterinary Population Medicine Department, College of Veterinary Medicine University of Minnesota Requirements: For both positions, candidates must have completed a Ph.D. degree by start date. Proficiency in programming with R or other programming language is required, and strong organizational, quantitative analysis, and writing skills are necessary. Desired qualifications include excellent oral/written communication; leadership and interpersonal skills; previous experience with machine learning approaches; and demonstrated ability to work in teams. Candidates with a background in epidemiology, veterinary medicine, statistics, management of large datasets, and network analysis will have preference. Duties: 1) Conduct research and provide technical assistance to the PI, students, and trainees on data analysis, and other miscellaneous problems related to epidemiology and/or data analytics. 2) Collect and organize data for research activities. Collaborate with the PI in the generation and testing of research hypotheses and data analysis, writing of papers, grants, and reports, and preparation of presentations and lectures. 3) Participate in laboratory meetings, seminars, graduate and undergraduate lectures, and conferences as needed. 4) Perform miscellaneous duties as assigned by the PI including, but not limited to, ordering supplies and organization and coordination of meetings and projects. 5) Maintain frequent communication with other faculty and collaborators, including potential travel to meet with collaborators and collect data. Salary: Commensurate with experience and qualifications. Start Date: When filled. Application:Apply online at: employment.umn.edu, job number 320146 Review of applications will begin immediately and continue until the position is filled. Applications should include: (1) a cover letter describing research interests and fit with this position, and a possible start date, (2) a curriculum vitae, and (3) and names of three references. Please contact Dr. Kim VanderWaal (k...@umn.edu) for further details. The University of Minnesota is an equal opportunity educator and employer.
[ECOLOG-L] Post-doc positions - Disease Ecology/Epidemiology
Job Title: Post-Doctoral Associate Topic: Disease Ecology / Epidemiology Job ID : 311016 Location: University of Minnesota, Twin Cities campus, College of Veterinary Medicine Qualifications Candidates must have completed a Ph.D. degree by start date and should be able to demonstrate experience in at least one of the three focus areas for these positions, namely, (1) foot-and-mouth disease in the U.S. and endemic countries (including but not limited to Uganda, Kenya, India, or Vietnam); (2) fish diseases; and (3) epidemiology and disease ecology of wildlife and food animal diseases. Experience in more than one of those areas is not required, but candidates are encouraged to specify that information in their application letter. Strong organizational, quantitative analysis, and writing skills and previous experience in at least one of the three focus areas are required. Desired, but not required, qualifications include proficiency in programming with R; excellent oral/written communication; leadership and interpersonal skills; and demonstrated ability to work in teams. Candidates with a background in statistics, management of large datasets, applied mathematics, ecology, bioinformatics, physics or a related field will be given preference. Job duties 1) Conduct research and provide technical assistance to the PIs, students, and trainees on surveillance, data analysis, and other miscellaneous problems related to disease epidemiology and ecology. 2) Collect and organize data for research activities. 3) Collaborate with the PIs in the generation and testing of research hypotheses and data analysis, writing of papers, grants, and reports, and preparation of presentations and lectures. 4) Attend, participate, or present at laboratory meetings, seminars, graduate and undergraduate lectures, and conferences as needed. 5) Perform miscellaneous office duties as assigned by the PIs including, but not limited to, ordering supplies and help the PIs in the organization and coordination of meetings and projects. 6) Maintain frequent communication with other faculty and collaborators, including, if required traveling to international destinations to meet with collaborators and collect data. How To Apply Applications must be submitted online. To be considered for this position, please go to (https://humanresources.umn.edu/jobs) and look for job opening ID 311016. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Activities" page and uploading documents there. To request an accommodation during the application process, please e-mail emp...@umn.edu or call (612) 624-UOHR (8647). Contact: Kim VanderWaal, k...@umn.edu Andres Perez, ape...@umn.edu
[ECOLOG-L] Post-Doc, Disease Ecology
POSTDOCTORAL ASSOCIATE IN DISEASE ECOLOGY Department of Veterinary Population Medicine, University of Minnesota Position: This position will be an annually renewable, non-tenure track, 100% time appointment with focus on analytic epidemiology and network modeling. Requirements: Candidates must have completed a Ph.D. degree by start date and should be able to demonstrate experience in network analysis and stochastic models of infectious disease transmission. Proficiency in programming with R is required, and strong organizational, quantitative analysis, and writing skills are necessary. Desired qualifications include excellent oral/written communication; leadership and interpersonal skills; previous experience with network models; and demonstrated ability to work in teams. Candidates with a background in cattle disease, statistics, management of large datasets, and applied mathematics or a related field will be given preference. Duties: 1) Primary projects on which the candidate will be engaged include the use of network-based transmission models to predict risks and explore surveillance/control strategies for livestock diseases of cattle, including foot-and-mouth disease, bovine tuberculosis, and paratuberculosis, though other opportunities may emerge based on candidate interests. 2) Conduct research and provide technical assistance to the PIs, students, and trainees on surveillance, data analysis, and other miscellaneous problems related to cattle disease epidemiology, modeling, and network analysis. 2) Collect and organize data for research activities. 3) Collaborate with the PIs in the generation and testing of research hypotheses and data analysis, writing of papers, grants, and reports, and preparation of presentations and lectures. 4) Attend, participate, or present at laboratory meetings, seminars, graduate and undergraduate lectures, and conferences as needed. 5) Perform miscellaneous office duties as assigned by the PIs including, but not limited to, ordering supplies and help the PIs in the organization and coordination of meetings and projects. 6) Maintain frequent communication with other faculty and collaborators, including, if required traveling to international destinations to meet with collaborators and collect data. Salary: Commensurate with experience and qualifications. Start Date: When filled. Application:Apply online at: TBD Review of applications will begin immediately and continue until the position is filled. Applications should include: (1) a cover letter describing research interests and fit with this position, and a possible start date, (2) a curriculum vitae, and (3) and three letters of reference. Apply at employment.umn.edu, Job ID #305416 Please contact Scott Wells (wells...@umn.edu) or Andres Perez (ape...@umn.edu) with any questions. The University of Minnesota is an equal opportunity educator and employer.
[ECOLOG-L] Post-Doc - Disease Ecology/Epidemiology
Job Title: Post-Doctoral Associate Job ID: 305416 Location: University of Minnesota, Twin Cities Deadline: Until filled Requirements: Candidates must have completed a Ph.D. degree by start date and should be able to demonstrate experience in network analysis and stochastic models of infectious disease transmission. Proficiency in programming with R is required and strong organizational, quantitative analysis, and writing skills are necessary. Desired qualifications include excellent oral/written communication; leadership and interpersonal skills; previous experience with network models; and demonstrated ability to work in teams. Candidates with a background in cattle disease, statistics, management of large data sets, and applied mathematics or a related field will be given preference. Duties: 1) Primary projects on which the candidate will be engaged include the use of network-based transmission models to predict risks and explore surveillance/control strategies for livestock diseases of cattle, including foot-and-mouth disease, bovine tuberculosis, and para-tuberculosis, though other opportunities may emerge based on candidate interests. 2) Conduct research and provide technical assistance to the PIs, students, and trainees on surveillance, data analysis, and other miscellaneous problems related to cattle disease epidemiology, modeling, and network analysis. 3) Collect and organize data for research activities. 4) Collaborate with the PIs in the generation and testing of research hypotheses and data analysis, writing of papers, grants, and reports, and preparation of presentations and lectures. 5) Attend, participate, or present at laboratory meetings, seminars, graduate and undergraduate lectures, and conferences as needed. 6) Perform miscellaneous office duties as assigned by the PIs including, but not limited to, ordering supplies and help the PIs in the organization and coordination of meetings and projects. 7) Maintain frequent communication with other faculty and collaborators, including, if required traveling to international destinations to meet with collaborators and collect data. How To Apply Review of applications will begin immediately and continue until the position is filled. Applications should include: (1) a cover letter describing research interests and fit with this position, and a possible start date, (2) a curriculum vitae, and (3) and three letters of reference. To apply: Go to employment.umn.edu and search for job number 305416. Please contact Andres Perez (ape...@umn.edu) or Scott Wells (wells...@umn.edu) for further details. Diversity The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu. To request an accommodation during the application process, please e-mail emp...@umn.edu or call (612) 624-UOHR (8647). Background Check Information Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
