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effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable
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Analysing biofilm structure and microbial communities Additionally, you will develop a mathematical model that includes both adsorption and biodegradation mechanisms. This model will be calibrated using pilot
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at the Division of Transport, Energy and Environment at Chalmers University of Technology, Department of Mechanics and Maritime Sciences . You will join an interdisciplinary team with Ida-Maja Hassellöv, Lars
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safety. You will work on developing control algorithms all the way to performance assessment in test vehicles. The project combines theoretical aspects of control algorithms, experimental design, and
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consensus mechanisms, and designing scalable defense strategies that uphold privacy and security guarantees. The candidate will work at the intersection of systems, networking, and security, contributing both
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qualified individual with an MSc degree corresponding to at least 240 higher education credits in civil or mechanical engineering, applied physics, or a related discipline. The ideal candidate will possess