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critical role. The research will combine: Numerical modelling: develop and validate models to describe transport and separation mechanisms Experimental work: Design and operate and experimental setup using
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from a wide-range of disciplines in future climate model development, paleo-climate data collection, and applied mathematics. Your qualities The project requires the development of both numerical skills
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, including thermal behavior and ageing and experiments that lead to accelerated ageing. This requires developing understanding of the underlying physics, methods for data-driven modelling and numerical
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-driven modelling and numerical mathematics leading to computationally fast methods State-of-X (where X is charge, health and/or function) estimation at the pack level. This requires developing
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, probabilities, stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python, Julia, or MATLAB
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-driven modelling, probabilities, and stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python
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to significantly reduce the turnaround time of SRS, thus enabling their use for industrial design processes. By combining state-of-the-art numerical methods and data-driven modelling techniques, the PhD candidate
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, this PhD will explore machine-learning (ML) methods to significantly reduce the turnaround time of SRS, thus enabling their use for industrial design processes. By combining state-of-the-art numerical
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decision making (Gabriele Paolacci), self-control and consumption (Mirjam Tuk), how technology augments behavior (Shwetha Mariadassou and Anne-Kathrin Klesse), numerical processing (Dan Schley and Christophe
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the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including the multi-beam generation unit, imaging lenses