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25 Sep 2026 Job Information Organisation/Company INSERM Department U1065 Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Horizon Europe Marie Skłodowska-Curie Actions (MSCA) COFUND call and co-financed by the Université de Toulouse and its partners (UT Capitole, UT2J, ISAE, INP, INSA, IMT-MA, ENAC, INSERM, IRD, INRAE, INUC
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French National Institute for Health Research (INSERM) | Paris 15, le de France | France | 3 months ago
The INSERM Chair “Regulation of the Immune System” aims to identify new mechanisms regulating the immune system by considering the global context of the host and the tissues in which immune cells
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, computer science, applied mathematics or a closely related field. - Programming experience (e.g. Python, R or similar). Solid knowledge of network biology, mathematical modelling and/or omics data analysis
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 13 days ago
/public/classic/en/offres/2026-10471 Requirements Skills/Qualifications Technical and software skills and level required : Good programming skills in Python, MATLAB, and C++. Ability to design and implement
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essential. Additionally, he/she is expected to have good skills in calculation/simulation software (e.g., Matlab or Scilab) and programming (in languages Python, C++). Experience in aerodynamics is
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proficient in written and spoken English. Good programming skills (e.g. Python, R, or MATLAB) and previous experience with EEG/fNIRS/fMRI/eye-tracking/computational modelling are desirable. If any student in
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, particularly EEG; • Programming experience, particularly in R and Python; • Proficiency in statistical methods commonly used in psychology and neuroscience (ANOVA, linear models, etc.); • Familiarity with
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bioinformatics, computational biology, genomics, evolutionary biology or a related discipline. Essential skills include experience with genomic data analysis, proficiency in Python and/or R, familiarity with
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, or computer science. Core competencies: solid background in quantum many-body physics strong programming skills (Python required, Rust a plus) experience with tensor networks, variational Monte-Carlo, machine learning