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turbines. A diverse working day is guaranteed! During the project, you will develop and implement self-learning control algorithms that balance computational demand and modeling precision. You will evaluate
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qualifications - You are a highly motivated student that takes great interest in research, is curious and excited to learn and optimize new methods and experimental approaches. - Practical experience in molecular
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, PyTorch, TensorFlow) to automate information extraction and annotation across large scientific datasets Data FAIR-ification & Quality Control Define protocols for metadata standards in alignment with FAIR
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analysis and scientific programming (e.g. Origin, Igor Pro, Python, Matlab, Mathematica) A good command of written and spoken English You are interested in further academic qualifications (doctorate) Our
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(because of directivity). Similarly, it is expected that a smaller number of turbines will have to be curtailed. The fellow will acquire a broad knowledge on large-scale optimization, digital controls, noise
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implement self-learning control algorithms that balance computational demand and modeling precision. You will evaluate, interpret, and combine the results from experimental modal analyses and other tests. You
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of precision fermentation or cell culture - Affinity towards technical tasks and bioprocess control - Advantageous: Experience in mathematic modeling, programming, CAD, microfluidic or bioreactor systems
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institution known for its strength in optimization, optimal control, dynamical systems, and applied mathematics in general. Mobile working A certified (Audit berufundfamilie) family-friendly work environment
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beyond their actual research field. Our research fields are in the following areas Divisions and Departments - Fraunhofer ITWM Optimization Flow and material simulation Mathematics for vehicle development
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disciplines). Experience in/Dedication to: planning and conducting chemical experiments, chemical analysis, process modeling/simulation, and optimization Team player skills and enthusiasm to work in a multi