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of about 10 percent of full time. Qualifications The applicant should have a Master's degree in Applied Mathematics, Engineering Physics, Electrical Engineering, or equivalent, with excellent knowledge
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
professors and a dynamic team of PhD students and postdocs working in areas such as wireless and optical communication, information security, information theory, and machine learning. At the department, we
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of Radio and space science the position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 per cent of working hours Contract terms and what we
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senior researchers, three postdocs and three PhD students. It is embedded in an interdisciplinary environment where we have close collaboration with other research teams at Chalmers such as technology
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Technology Laboratory (QTL) division of the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking PhD students to work
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students. Although the knowledge of Swedish is not mandatory for teaching and research, many PhD students decide to follow these courses. Who we are looking for We seek candidates with the following
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and dissemination in Food and Nutrition Science with the aim to provide new knowledge and solutions that pave the way for a sustainable planet and healthy humans. Research topics span from food
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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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that utilize streets and roads to manage stormwater, there is limited knowledge on effective design and implementation strategies. This PhD project aims to investigate how urban roads can be designed and
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a strong specialization in Sound and Vibration (We also welcome applications from candidates who will graduate soon). Solid knowledge of structural mechanics and numerical methods Proficiency in