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Field
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: Python, Pytorch; proficiency in collaborative tools: Git Written and spoken English (B2) Ability to work interactively in a team Open-mindedness Ability to communicate Training in computer science
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statistical methods and programming languages such as R, Python, or similar. Experience: Previous experience with large-scale genetic datasets and exposure data. Research Experience: A strong publication record
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of stochastic systems, and possibly reinforcement learning / POMDPs; ● Has, or will soon acquire, skills in Python or R (or equivalent); ● Is willing and able to move between ENS in the Paris region and SETE in
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Compétences approfondies de programmation en R ou Python Une première expérience d'analyse de données génomiques ou en biostatistique est recommandée. Forte appétence pour le travail multidisciplinaire et en
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/ Requirements Research FieldEngineering » Computer engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Required skills, knowledge, and experience: Programming: skills in Python, as
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hold a PhD (or equivalent) in high-energy astrophysics, obtained no earlier than December 1, 2023. Prior experience in gamma-ray astronomy is desirable, but not required. Strong Python programming
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, COMSOL) • Expertise in beam dynamics simulation tools (MADX, BMAD) • Experience in data analysis using common tools (Python, ROOT). • Capability of coordinating project meetings • Experience in writing all
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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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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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predictive modelling Public policy evaluation Management and analysis of survey data Software proficiency Statistical and econometric packages such as Stata, R, or Python GIS software (QGIS, ArcGIS