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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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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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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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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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condensates - have practical experience in single-molecule fluorescence microscopy - have practical experience in cryogenic electron tomography - have knowledge of data processing using R, Python, or equivalent
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of computational neuroscience concepts - Expertise in dynamical systems theory - Knowledge of machine learning - Experience with neural data analysis ### Technical Skills - Advanced scientific programming (Python
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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
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) python programming skills, 2) understanding of the mathematical foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on
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physics, mathematics, and statistical/AI approaches. • Proficiency in programming (mainly Fortran, Python) and the Linux/Unix environment. • Experience in high-performance computing and large datasets
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; - Installing, maintaining, and monitoring calculation codes on GENCI platforms and the local cluster; implementing Python tools for automating CSP/DFT calculations; - Participating in the scientific activities