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- l'institut du thorax, INSERM, CNRS, Nantes Université
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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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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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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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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 5 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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), 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
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. - Knowledge of programming techniques (C/C++, Python, Bash) in a Linux environment. - Knowledge of a version control tool (gitlab). - Knowledge of software architectures. - English (level C1). Skills: - Conduct
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cognitive neuroscience or cognitive psychology - Confirmed experience in psychophysics - Programming skills (for example in Python) - Skills in programming microcontrollers (for example the Arduino
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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
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dynamical systems), epidemiological modelling, data analysis (statistics, machine learning). • in scientific programming (preferably Python, Matlab, R) Genuine interest in the analysis and modeling