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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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languages commonly used in computational research, such as Python, C++, or specialized languages for computing platforms. Experience with computational libraries and willingness to learn platform-specific
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, conference presentations, or significant project contributions appropriate to career stage. Programming skills: Proficiency in programming languages commonly used in computational research, such as Python, C
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, Python, LabVIEW, or similar tools). Soft skills: Capacity to work independently while contributing to a collaborative and interdisciplinary team. Strong analytical and problem-solving skills. Good written
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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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programming in Python and MATLAB; version control (git) and reproducible workflows. * Experience with MEG/EEG analysis; familiarity with MNE-Python/SPM/FieldTrip; comfort with source reconstruction and signal
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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
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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
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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