Sort by
Refine Your Search
-
of the project (patents, communications, outreach). Conducting in vivo optical imaging experiments on healthy and patient volunteers; Developing image-analysis pipelines (Python, MATLAB) and modeling functional
-
at the IRIT-ENSEEIHT campus in Toulouse. Integrated within the REVA team at IRIT. Strong interaction with ALICIA-Vision LabCom partners (CNRS / Technicolor-Mikros). Where to apply Website https://emploi.cnrs.fr
-
model's development. The position is based at LOCEAN on the Pierre and Marie Curie campus of Sorbonne University. The LOCEAN laboratory (https://locean-ipsl.upmc.fr ) is one of nine laboratories in
-
fellow will carry out the development of theoretical and methodological formalisms in relativistic quantum chemistry, as well as their implementation (Python). The position is within the BRUNCH project
-
of the CBI which benefits from all the technical means, equipment and technical facilities necessary for the realization of the project. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5077
-
well as time-resolved spectroscopy. Basic programming skills are welcome as the facility is currently implemented with Python. The postdoctoral researcher will work in the Materials and Light Department
-
to compute the predicted ZTs via first principles calculations. - Computer simulations: ML + DFT - Scripting (Python) - Analysis of the results + writing publications - The position is part of an ANR-DFG
-
of Brice Bathellier (Institut Audition), Virginie van Wassenhove (NeuroSpin), and Mehrdad Jazayeri (MIT). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/SNC9138-SRDOST-008/Candidater.aspx
-
postdoc will: ● Start by familiarizing with existing research and methods for genome interpretation, such as the AI4GI lab previous publications (https://academic.oup.com/nar/article/50/3/e16/6430850?login
-
algorithms. The post-doc will carry out theoretical work on causal abstraction and causal alignment, implement algorithms and experimental pipelines in Python/PyTorch, and run experiments on GPU clusters