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://www.kikn.fms.meiji.ac.jp/Crest-AHC2022/index_e.html [Work content and job description] (1)Study on a new algorithm for differentially private anonymization (2)Development of proof-of-concept using smartphone apps or python
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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, Electrical and Computer Engineering, or a closely related field. ● Proficiency in MATLAB or Python. ● Prior experience with Neuroimaging analysis (using FSL, AFNI, SPM, etc.) ● At least one
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networks); -have experience in vibrational modeling and DFT methods; -possess solid skills in scientific programming (Python) and data processing ; -have ability to work in an interdisciplinary environment
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team • Proficiency in programming languages (e.g. Python, R, Fortran) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8190-JEARAU-003/Default.aspx Work Location(s) Number
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Excellent critical programming skills in Python Strong command of English (spoken and written) Familiarity with ethical and responsible AI considerations Interest in translating models into applied
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implementation of data pipelines. Programming in computational neuroscience: Python, MatLab. Specific Requirements Knowledge: Processing of neural signals. Network science. Statistical learning. Algorithm design
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» Civil engineeringEducation LevelPhD or equivalent Skills/Qualifications Technical Skills: Programming: FEA, Python and MatLab. Other requirements to consider: Teamwork. Adaptability. Communication skills
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or Python (data management, statistical modelling, visualisation, and reproducible workflows). Excellent English (written and spoken); Spanish and/or Catalan are an asset, and additional European languages
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Proficiency: Skills in programming languages suitable for numerical simulations and statistical analysis (specifically R or Python). · Analytical Skills: Proven ability to handle complex mathematical