Organisation/Company: CNRS
Department: Institut de biologie de l'Ecole Normale Supérieure
Research Field: Mathematics History » History of science
Researcher Profile: First Stage Researcher (R1)
Country: France
Application Deadline: 28 Nov 2024 - 23:59 (UTC)
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 35
Offer Starting Date: 1 Jan 2025
Is the job funded through the EU Research Framework Programme? Horizon 2020
Is the Job related to staff position within a Research Infrastructure? No
Offer Description The candidate will develop image processing, deep-learning, theoretical and mathematical tools for wavelet and Fourier transform signal processing, classification, stochastic control theory, electrophysiological signal models as well as mathematical models of neural networks and numerical simulations in accordance with those developed by the D. Holcman group. We will use wavelets to interpret physiological recordings ranging from the electrode to the EEG to image processing. A collaboration is underway with Oxford Weizmann Institute, Collège-de-France, and several Parisian hospitals.
Unité mixte ENS-CNRS-INSERM, IBENS accommodates more than 300 people regrouped in 30 autonomous teams conducting highly collaborative and multidisciplinary research that combines experimental and theoretical approaches. The research activity covers various thematic fields: Neurosciences, Development Biology, Functional Genomics, Ecology and Evolution Biology. Several technological platforms, notably in imagery, genomics, proteomics, and bio-informatics are at the disposal of researchers. The research conducted at IBENS benefits from interactions with other disciplines present at ENS (physics, chemistry, cognitive sciences, mathematics). IBENS is actively involved in the training of students and young researchers at all levels.
The objective of the team is to understand and quantify the underlying mechanisms of computational biology.
Required Knowledge and Skills Knowledge: mathematics, physics, computer science, EEG neuroscience
Operational know-how: simulations, data analysis, classification, Python/Matlab/DL
Relational skills: interaction with biological partners
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