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of floodplain channels and lakes). By combining field monitoring and numerical modelling approaches, we will assess how reactivated paleochannels, constructed floodplain systems, or other solutions can create
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geography and sociology approaches. GET encompasses 7 research teams mobilizing complementary skills in spatial and in situ observation, numerical and analogic modelling, and laboratory experimentation
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, fisheries science, climate science, or a closely related discipline by the start of appointment. Demonstrated experience with numerical modeling, ocean forecasting, or biophysical coupling. Experience with
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Engineering, or Computational Science. • Strong past experience in numerical analysis and scientific computing. • Experiences in scientific machine learning, computational mechanics, and/or nonlocal models
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interferometry, isothermal titration calorimetry, or similar) and cellular assays. Expertise in bioinformatics and programming is advantageous. Experience in structure-based design or generative models is a plus
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development techniques (numerical methods, solution algorithms, programming models, and software) at scale (large processor/node counts). Experience with use of artificial intelligence and machine learning in
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learning, or related quantitative field. • Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow, and JAX). • Experience in PDE/ODE modeling and numerical methods. • Strong interest in
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. You will develop numerical models for nanoscale heat dissipation to interpret the experimental data. The project will be supervised by Prof. Zijlstra (Molecular Plasmonics group) and co-supervised by
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Infrastructure? No Offer Description Employment for the implementation of the National Science Center (OPUS) project: "Multilevel modeling of shear capacity based on research, simulations, and probabilistic
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The University Medical Center Göttingen (UMG) unites the Medical Faculty of the Georg-August University and the University Hospital in an integration model. With around 9,700 employees, the UMG and