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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
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describe the neuronal and behavioral changes associated with pharmacological manipulations, through the development of scripts using software such as Python or Matlab. 1) Conduct electrophysiology
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
program. The aim is to use Python code to identify the machine learning profile used in order to identify good and bad practices. The objective of this position is to develop a Python parser, a tool for
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 14 days ago
Python, C/C++. • Possible co-supervision of Master’s and/or PhD’s students (on a similar topic). Where to apply E-mail Florent.Autrusseau@univ-nantes.fr Requirements Research FieldComputer scienceEducation
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disciplines. The candidate must be familiar with the modeling, simulation, and design of photonic devices (Python, Matlab, Lumerical) as well as nanofabrication processes, particularly for silicon photonic
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 21 days ago
, reinforcement learning and design optimisation. This development will result in an open-source software component (C++ and Python) integrated into the SOFA platform, accompanied by comprehensive documentation and
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strong expertise in data analysis and computational methods for high-dimensional biological datasets, as well as proficiency in R and/or Python programming. Previous experience with single-cell and/or
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programming in C++ and Python. - Mandatory mastery of GPU programming (CUDA) for optimization. - Experience with Deep Learning frameworks (PyTorch). - Knowledge of the AliceVision architecture is a major asset
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), nonlinear dispersive PDEs, or cold quantum gases. Practical knowledge of at least one programming language (Python, Matlab, Julia) is expected. English : level C2 is expected. Applications must include a
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Python to process observational data. - Experience in the experimental characterisation of aerosols and analysis of field data. Cross-disciplinary skills: - Excellent scientific analysis and synthesis