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prototyping, including microprocessor-based systems and embedded devices. Strong programming skills, including 5 years of experience in Python and proficiency in PyTorch. Experience in signal processing and
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(Python, Julia, C++, …) Good analytical skills Good organizational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing
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) methods. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5253-MOUBEN-002/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldChemistryEducation
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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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the remit of this role. Essential Application and interview Software development and script-based programming (e.g. Python, C++/C#) Essential Application and interview Further Information Grade 6 Salary
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 15 days ago
biological systems, prior experience in biological modeling and in transcriptomic data analysis. Proficiency in programming (e.g., Python, R) and familiarity with high-performance computing environments
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eukaryotes (plants, fungi) Experience with transforming non-model eukaryotes, including filamentous fungi or plants Experience with Programming in Python, Java, R Experience Promoter library design, cloning
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but related lines of research: 1/ Investigate wavefront sensing measurements with Color-filter arrays (CFA) detectors. The PhD student will perform python simulations based on Fourier optics to combine
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Transformers). Analysis of existing datasets. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department