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Machine Learning group at TDB and SciLifeLab (Associate Professor Prashant Singh), which develops methods and software for simulation-based inference, generative models and robust machine learning, together
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describe the performance of the welded interface. Implement the developed models in commercial FE simulation software for the development of a digital twin and validate their accuracy against experiments. We
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to bigeye and skipjack tuna where appropriate. Initial work will build on an existing high-resolution, spatially explicit simulation framework developed using the Spatial Population Model (SPM). SPM will be
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curricula, educational initiatives, and pilot programs. · Model best practices in simulation facilitation, debriefing, and learner assessment. · Maintain clinical and simulation expertise
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simulations, analysis of the model results, and data analysis Prepares research presentations, manuscripts, and proposals Additional duties and responsibilities: Assists in coordination between modeling, field
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, theoretical modelling and numerical simulations. The team focuses on model materials with controlled physical parameters, enabling quantitative comparisons between experiments, models and simulations, with
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Technische Hochschule Brandenburg | Brandenburg an der Havel, Brandenburg | Germany | about 6 hours ago
the simulation environment and perform training using large data sets. Scientific verification: you systematically verify the developed models with respect to robustness, physical limits, sensitivities and
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for a laser designer who will develop a concrete laser design and transfer it to the research and fabrication team over a three-month period. YOUR TASKS You will design and simulate III-V semiconductor
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in large pre-trained models (vision-language models), generative models (flow matching, diffusion), simulation-based inference, and robust and active learning. The group has a wide network of
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, prestress transfer, and reactivation. Structural-scale simulation of SURPASS overlays in strengthened members, including parametric finite element analyses for surrogate-model development and digital-twin