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Field
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visualization. Experience with GWAS, Bayesian modelling, and/or machine learning applied to biological data. Strong programming skills (R, Python) and ability to manage large-scale -omics datasets. Good
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mathematics, computational physics, or computer science Strong programming skills (e.g., Python, PyTorch, TensorFlow) Experience in one or more of the following areas: Generative AI models (transformers
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by bioinformaticians, the candidate must have skills in analyzing sequencing data, ideally using Python, but other training in other suitable programming languages are acceptable. Website
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languages: Unity, C#, R, Python, etc. Concept i on and development of visualisation tools Implementation of experimental protocols, experimental methodology Analysis of experimental data Use of eye-tracking
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scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software
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Machine Learning; Expertise in Expert Systems; Good command of French (spoken and written) and English (spoken and written). Skills: Proficiency in object-oriented programming (Python, Java, JavaScript
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modeling and simulation tools (e.g., MATLAB/Simulink, Python, EES, or equivalent environments). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR8521-MAXPER-005/Candidater.aspx Requirements
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
track record in applied mathematics, scientific computing, and computational mechanics; Proficiency in programming (Python/C++); Solid knowledge of numerical methods. Highly appreciated qualifications
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to synthesize information; - Skills in IT tools (GIS); - Scientific programming skills (Matlab, Python, etc.) - English (read and spoken) Specific Requirements You hold a PhD in geophysics with a specialization
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programming or scripting languages: Python, Matlab, R, Fortran, or similar. - Knowledge of geothermal legislation and drilling standards is a plus. - Autonomy, rigor and strong initiative. - Curiosity and