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Field
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: • Develop efficient numerical methods and strategies to solve the electromagnetic and heat transfer problem in induction welding. • Develop constitutive models that capture the temperature
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. the light curves and spectra) of these stars analytically and through numerical methods, based on binary stellar evolution models. You will also investigate potential observable signatures of binary evolution
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well as emerging materials. These experimental techniques will be complemented by advanced electromagnetic modelling. Responsibilities and qualifications The ideal candidate will possess demonstrated expertise in
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1-dimensional ocean-ice model. You will identify any long-term changes in ocean CO2 uptake along the Antarctic Peninsula using data from Rothera, SOCAT (www.socat.info) and mapped CO2 products, while
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secondments at UCL – University College London and at University of Leeds (UK). We are looking for you! Do you want to be trained to develop multi-level thrombosis risk prediction models by integrating insights
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laboratory testing to study the microstructure and the monotonic and cyclic mechanical behavior of the volcanic basalt sand. Subsequently, results of model-scale centrifuge tests and advanced numerical
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evaluation of efficient training and reconstruction pipelines involving deep learning models Find required initial conditions for LWFA simulations which yield the reconstructed observed electron buch shapes
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assessment, demonstrating the impact of advanced process control on FGMs · Possible collaboration with ongoing research, including validation of numerical models, reduction of residual stresses through thermal
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with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage. Experience and abilities
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Are you fascinated by electromagnetic modeling and numerical problem solving? Do you want to contribute to the development of state-of-the-art metrology for integrated-circuit production