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Field
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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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of Research ExperienceNone Additional Information Eligibility criteria Knowledge in steganography, steganalysis, and generated image detection. Knowledge in image generation. Proficiency in Python. Additional
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Information Eligibility criteria * Skills/knowledge: statistical physics, physical chemistry, machine learning * Expertise: molecular simulations, programming experience (Python, C++, Julia, C, etc.), Python
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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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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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periodic time series. Responsibilities also include coding the proposed algorithms in R or Python, such as methods for splitting periodic time series into regeneration blocks, and applying them to real
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simulations, transport/mixing in complex flows), active matter/biophysics or deep reinforcement learning, as well as a taste for interdisciplinary research and programming (Python). Environment. The successful
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the proposed algorithms in R or Python, such as methods for splitting periodic time series into regeneration blocks, and applying them to real biomedical datasets. The role requires the ability to effectively