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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 1 month ago
developed an in situ data processing approach, called Deisa, relying on Dask, a Python environment for distributed tasks. Dask defines tasks that are executed asynchronously on workers once their input data
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du contrat (en mois) 6 Description de l'offre The first task will be to develop, on top of existing work, a Matlab/Python model of a secure transmission chain, including channel coding and modulation
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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
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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
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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
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tasks Development and implementation of behavioral protocols Analysis of imaging data Programming analysis tools (Python/Matlab) Associated activities: Participation in team meetings and seminars
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 days ago
. Main activities: Reading scientific articles Scientific discussions with the supervisors, possibly via videoconference with Ludovic Métivier Development of a prototype code (in Python, for example
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 days ago
simplified setting Development of a prototype code (in Python, for example) for the reduced 1D model Writing of a final internship report Additional activities: Participation in the weekly ANEDP seminar
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benches - Procure the supplies necessary for the platform's operation Operational skills: - Mechanical design, CAD - Machining, additive manufacturing - Programming skills in LabView, Python
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, machine learning (PINN, supervised learning) - Python/PyTorch programming - Autonomy, curiosity, and adaptability - Excellent writing skills Specific Requirements The doctoral student's host laboratory is