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Field
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analysis tools Implementing continuous benchmarking of the library Optimization of the library algorithms and underlying data models for speed and memory efficiency Maintenance and improvement
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knowledge of energy system modelling or climate modelling Good knowledge of deep learning, PDEs or mathematical/numerical optimization methods Enthusiasm for challenging problems and interdisciplinary
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the interdisciplinary scientific structure. An interest in research questions within oral medicine, knowledge of orofacial biomechanics, numerical analysis, methods within artificial intelligence and modeling
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naturally take the initiative and quickly and flexibly familiarize yourself with new topics Experience in modeling, programming, numerical methods, and semiconductor lasers is an advantage You also possess
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analysis and visualization Numerical modeling and programming for model optimization & machine-learning What you bring to the table You are studying Simulation Sciences, Mechanical Engineering, Computational
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. Numerical models of varying complexity and different observational data sets are used to study atmospheric processes and phenomena on time scales ranging from single weather events to long term climate change
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
Area of research: Scientific / postdoctoral posts Starting date: 01.07.2025 Job description: Postdoc (f/m/d): Machine Learning for Materials Modeling With cutting-edge research in the fields
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analysis, specifically Focused Ion Beam-Scanning Electron Microscope (FIB-SEM) imaging, through data assimilation and model calibration. The goal is to develop physics-informed neural network models
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Specifications. The PhD topic consists of two parts, the weighting of which can be adjusted. First, natural frequencies of different UAV categories for different power settings shall be modelled. Second, based
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frequencies of different UAV categories for different power settings shall be modelled. Second, based on mesoscale fluid dynamic simulations, microclimatic and turbulence modelling procedures in urban