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languages: C, C++, Python... o Practical experience on robotic platforms is highly appreciated. o Autonomy and teamwork. o Writing skills in French and English. Additional comments IMPORTANT Candidates must
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such as chemical analyses, microbial culturing, isotope tracing, or data modeling is highly desirable. • Proficiency in data analysis tools (e.g., Python, R, or MATLAB) and excellent command of English
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. Applicants should hold a PhD degree in Earth sciences, atmospheric sciences, physics, or similar fields, with: (i) a background in dust processes and lifecycle; (ii) experience in computer programing (Python
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Eligibility criteria The skills required of the candidate are as follows: • Solid background in astroparticle physics • Strong programming skills, especially in Python • Experience in data processing
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the development of new use cases in collaboration with the Virome@tlas consortium, ShapeMed@Lyon and the FR BioEEnviS partners to promote One Health and global-scale approaches. Job profile Expected skills: Python
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: mastery of variant calling protocols, programming/scripting languages (Python, R, bash), the use of computing clusters, and FAIR practices. This project also requires a good command of evolutionary genomics
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programming languages such as Python, Fortran, C, C++, etc.; statistical physics of liquids, etc.). A good knowledge of spoken and written English is also required. Website for additional job details https
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statistics and/or machine learning Specific knowledge • Proficiency in scientific computing • Knowledge of machine learning packages in Python or R • Proficiency in English (minimum level B2), as the postdoc
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(particularly for judges) Interest in justice issues and multidisciplinary work. Python programming skills and experience with ML libraries. Expertise in LLMs (e.g., GPT, BERT, T5) and related frameworks (e.g
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of the GRISLI model Code programming in Python and Fortran Write scientific articles - good level of English required Analysis of a large set of GRISLI simulations and sensitivity study Presentation of results