Two post doc positions are offered within the project *Artificial
Intelligence against Heart Diseases* (https://aihd.loria.fr/tasks.html),
funded by Lorraine University, France.
Details and contacts just below
Postdoc position in machine Learning / deep learning
We are looking for a motivated candidate to work on machine learning for
theatrial fibrillation diagnosis based on short ECG recordings from a
mobile device <https://aihd.loria.fr/tasks.html#diagnosis>. This
position will involve medical data preprocessing and classification
tasks, in collaboration with researchers from the LORIA and the IADI.
*Candidate profile:*PhD in computer science or a related field. Good
knowledge of machine learning and deep learning. Programming skills and
working knowledge of deep learning frameworks (keras, tensorflow...)
would be appreciated, as would an interest for medical applications and
interdisciplinary research.*Duration:*12 months
*Start date:*September 2019
*Location:*LORIA, Nancy
*Contact:*Fabien Lauer (fabien.lauer (at) loria.fr)
Postdoc position in signal processing / medical data analysis /
statistics
We are looking for a motivated candidate to work on feature extraction
for thenon-invasive prediction of catheter ablation outcome in
persistent atrial fibrillation
<https://aihd.loria.fr/tasks.html#prognosis>. This position will involve
preprocessing raw data and extracting relevant features for the
subsequent classification task, in collaboration with researchers from
the IADI and the IECL.
*Candidate profile:*PhD in signal processing/applied mathematics or a
related field with a solid background in statistics. Good programming
and data manipulation skills are expected. Knowledge of machine learning
would be appreciated, as would an interest for medical applications and
interdisciplinary research.
*Duration:*12 months
*Start date:*September 2019
*Location:*IADI, Nancy
*Contact:*Julien Oster (julien.oster (at) inserm.fr)
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