18 model-checking Postdoctoral positions at Chalmers University of Technology in Sweden
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The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare
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modeling, and algorithm development, with experimental validation using Chalmers' advanced multi-antenna testbed. The overall objective is to contribute to the development of energy-efficient and high
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merging time-domain Finite Element Analyses for the structure and subgrade with a vehicle model. The focus will be on incorporating accumulation models for ballast and subgrade that incorporate (cyclic
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will consist in the porting and optimization of parallel and heterogeneous programming models for the upcoming multiprocessor systems developed in the DARE project . The focus of DARE are long vector
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collaboration with KTH, the Royal Institute of Technology in Stockholm, where experiments and model-scale sea trials will take place. The team has well-established partnerships in wind-assisted propulsion and
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driving range. The project aims to analyze algorithms for predicting the remaining driving range of EVs and suggest ways to improve the current state of the art. The idea is to develop a model-based
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are signatory of Treaty on the Non-Proliferation of Nuclear Weapons can apply and be considered for the position. Please check the status of your country before applying. Contract terms This postdoc position is a
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for the position. Please check the status of your country before applying. Terms of employment This postdoctoral position is a full-time, temporary role for two to three years. We offer Chalmers offers a cultivating