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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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student for a project at the intersection of mathematics and deep learning to work on theoretical aspects of geometric deep learning. The question whether more data and compute are sufficient to improve
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technology, or applied mathematics, with a specialization in energy systems analysis, or energy economics. Strong written and verbal communication skills in English. The following experience will strengthen
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on some part of this arena, using research approaches that could include for example textual/discourse analysis, interviews, participant observation and co-creative methods. The exact design of the project
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analysis. Experience in practical work around student recruitment, informal science learning, or STEM education. Proficiency in spoken and written Swedish (Chalmers offers Swedish language courses). Contract
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work and innovation (2). Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. We are almost 100,000 people
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the form of academic publications and presentations 20% of teaching for the department Read more about doctoral studies at Chalmers here . Qualifications Strong interest in the mathematical analysis
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-disciplinary team tackling challenges in optical communications, spanning components to networks, analysis to experiments. Collaboration with industry and academic partners is a key aspect of this work. Major