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of novel 2D materials (e.g., thin-film deposition by PVD and CVD). Proven programming skills (e.g., Python) for instrument control and data analysis. You are a highly motivated and independent researcher
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NOT FUNDED THROUGH AN EU RESEARCH FRAMEWORK PROGRAMME WORK LOCATION(S): Technopôle de l’Environnement Arbois Méditerranée, Aix-en-Provence, France WHAT WE OFFER: Salary function of experience (between
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preference for former and recent deep learning models (GNNs, Transformers, etc.). Strong programming ability (Python preferred) with hands-on skills in AI and Deep Learning frameworks (e.g., Pytorch
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scans. Experience with age-depth modelling (c14 dates, stratigraphic correlation). Experience with Python or similar programming language. Documented very good oral and written proficiency in English
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programming and software development. Familiarity with Python and statistical computing libraries, like PyTorch or JAX, etc., would be preferred. You are a motivational teacher, with an encouraging teaching
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skills (ideally MATLAB and/or Python) • Strong experience in preprocessing and analysis of brain MRI or MRS • Skills working with big data and statistical analysis a plus • Working in Linux
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Programming competencies in MATLAB or Python Experience in using practical coastal engineering models such as MIKE, Delft3D, XBeach and SWASH As a formal qualification, you must hold a PhD degree (or equivalent
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environmental datasets; proficiency with Python, MATLAB, or similar scientific programming environments. Ability to work with large datasets, develop reproducible workflows, and apply modern data science tools
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environment such as Python, MATLAB, or R. Good understanding of hydrodynamic loading and wave–current environments (e.g., wave kinematics, high-order wave theories) would be highly regarded. Familiarity with
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, Dr. Nikolaos Paterakis, and Prof. Dr. Valentin Robu. Where to apply Website https://www.academictransfer.com/en/jobs/358068/postdoc-in-ai-for-the-electrici… Requirements Specific Requirements