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Advance Fall Risk Prediction and Rehabilitation with Cutting-Edge Sensing Technologies! Are you passionate about research that makes a real difference in people’s lives and society? Do you thrive
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. You enjoy combining experimental laboratory work with theoretical analysis and modelling. While your main focus will be the research project and your own development as a researcher, the position also
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laboratory work and data analysis? Then this position may be right for you. While the focus will be on your research and personal development as a researcher, the position also provides opportunities
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microanalysis methods to reveal how tramp elements introduced during recycling impact microstructure and properties in aluminium mega-castings. As a PhD student, you will be supported by a multidisciplinary team
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spaces of AI models will be analyzed in their facts using quantitative methods from data science and AI, results of which then be investigated using qualitative methods and theory of critical studies
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of Electrical Engineering . You will be supervised by senior researchers with expertise in robotics, machine learning, automatic control, and optimization. The group leads and participates in numerous
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studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date; otherwise the admission may be withdrawn. We offer As a PhD student
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Environment at Chalmers University of Technology, Department of Mechanics and Maritime Sciences . You will be joining an interdisciplinary team with Ida-Maja Hassellöv and external collaborators Amanda Nylund
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and outside of WiTECH ranging from CMOS over BiCMOS to GaAs and GaN. The research is hosted at Chalmers but will be conducted in close contact to multiple industry experts in communications, sensing
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of Computer Science and Engineering (CSE)Chalmers University of Technology University of Gothenburg You will be part of the Computing Science Division The appointed candidates will also join a vibrant community of over