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Field
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. Excellent programming and computer science skills in C/C++, Python or other modern language and ML codes such as PyTorch or Keras. Clear and concise oral and written communication skills.Applicant will be
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proficiency in Python and R for scientific computing and pipeline development demonstrated experience in quantitative, statistical or data-driven modelling of biological systems experience developing
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Fondation Nationale des Sciences Politiques | Paris La Defense, le de France | France | about 1 month ago
of the most recent econometric methods to study the evolution of wealth accumulation from incomplete tax data. The applicant needs to have advanced programming skills in Stata, R and Python
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is highly desirable. A strong record of research publications is preferred. SKILLS: Strong programming skills (e.g., Python, C/C++, CUDA or similar); Background in algorithms for physical design
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(e.g. fuel cells, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory
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: Proficient in Python. Machine Learning: Strong experience with frameworks like TensorFlow, Keras, or PyTorch. Preferred Skills: Experience with Explainable AI (e.g., SHAP, Integrated Gradients
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; running of Perl & Python scripts) are expected. The ability to integrate in a research team and to work independently are expected. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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- Programming skills (e.g., Python, Matlab) - Advanced knowledge of statistical analysis (e.g., R) Desirable skills: -Specialization in language development, including research experience with infants and/or
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required Demonstrated expertise with large language models (fine-tuning, prompting, deployment) Strong Python programming with deep learning frameworks (PyTorch, TensorFlow) Experience with unstructured
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systems using tools such as MATLAB, Python, COMSOL Multiphysics, Lumerical, or equivalent platforms. Contribute to experimental laboratory work in ultrafast and nonlinear optics. Develop and optimise