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). Conduct in vivo optical imaging experiments on healthy volunteers and patients; Develop image-analysis pipelines (Python, MATLAB) and model functional optical signals; Optimize and maintain the AO-RSO
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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in nanomagnetism and spintronics with emphasis on magnetic skyrmions - Expertise in electrical and MOKE measurements - Expertise in micromagnetic simulations - Experience with Python - Micro/nano
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Team : We seek a researcher with demonstrated experience in perturbative modeling of LSS (in particular biased tracers of dark matter), analysis of simulated datasets, and strong programming in Python
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conferences. • Contribute to the writing of scientific publications. Optional : • Design Machine Learning (ML) potentials. • Code in FORTRAN and PYTHON to improve the functionality of the global
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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, including theory). Coding proficiency (Python and/or PhP, SQL, Stata or R). Fluency in English. Fluency in French is a plus, but it is not required. LanguagesENGLISHLevelExcellent Research FieldEconomics
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expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and experience
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source and an infrared laser test bench. Script development in Python and C++ will be necessary to control ASIC parameters, to automate data collection and to record data for analysis (Python, ROOT). He
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, French Technical skills: - Skills in measuring carbon stocks and flows - Advanced data processing skills - Ability to use an R or Python environment - Project management - Ability to work independently, in