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of previous outputs and professional development. C5 Proficiency in programming with Python, C++, and familiarity with AI frameworks. C6 Good understanding of WSI formats and tools (OpenSlide, QuPath
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@upm.es Requirements Research FieldEngineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Nivel demostrable de programación en Python, Pythorch, Ontologias, Federated Learning
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(e.g., Python, MATLAB) Practical experience with laser optics, vacuum technology, cryogenics, and FEM simulations is highly desirable Proactive working style with high level of commitment in solving
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and/or machine learning Interest in biology or molecular biology, microbial ecology Proficiency in programming languages such as Python, R and/or C++ as well as Linux systems. Fluency in spoken and
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in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C++ or similar) and an interest in
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to have a fluent command of written and spoken English with an extensive vocabular (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate
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present. 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 skills, preferably some
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language such as Python or Node.js) would be a plus. The candidate must be able to implement production-ready solutions in adherence to strict timelines, ensuring that deadlines are met, and that
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, Engineering or Chemistry Familiarity with areas such as design-of-experiments, soft matter physics, experience in programming (e.g. Python) Experience in X-Ray scattering, rheology or thermal analysis are a
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permanent and temporary grasslands. These results will clarify the potential contribution of grassland ecosystems to achieving France's 2050 carbon neutrality goal. Where to apply Website https