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beam (FIB) is preferred Programming proficiency (e.g., Python) for experiment automation and/or image analysis is preferred Background in electronic, magnetic, or optical materials is preferred
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development, and publication in peer-reviewed venues. Strong background in machine learning, with research experience in deep learning, foundation models, or related areas. Solid programming ability in Python
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to meet these eligibility requirements will not be considered. Applicants should have experience in performing statistical and bioinformatic analyses using the R/Python programming languages. Experience
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devices, nonlinear optics, or microwave photonics Working knowledge of simulation tools such as COMSOL or Lumerical for electro-optic modeling Desirable Skills Proficiency in Python-based data analysis
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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
). Proficiency in scientific programming (Python, MATLAB, or equivalent). Ability to work effectively in a multidisciplinary, multi-institutional collaboration. Excellent written and oral communication skills
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. You will have appropriate knowledge of relevant software tools for this work, including coding in python or C++, and experience with standard laboratory equipment for detector development. About the
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
Theory (NIFTy) Background in Galactic cartography and large-scale structure inference Excellent programming skills (Python and scientific computing environments expected) Experience with high-performance
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, algebra and geometry of IRMAR and ENS Rennes. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6625-EUGPOZ-002/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent
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applications Good analytical and (bio)statistical skills Knowledge of relevant programming languages such as Java, Python, and Perl Good knowledge of relational and document-oriented database design (e.g., MySQL
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, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python, is