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) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30 credit Degree Project (thesis). Selection
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of May 2025 but applications will be reviewed on an ongoing basis. Questions regarding the position and the application process should be directed to: Assistant Professor Jon Bokrantz (position questions
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: The successful candidate must have a Master's degree in electrical engineering, engineering physics, or related disciplines. Completed courses in signal processing, radar or communication theory are meritorious
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requirement for English equivalent to English B/6. Selection In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates
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understanding of physics and structural biology, and experience in computational work including programming. You should be highly motivated and be able to work productively in an international team as
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both experimental and computational work. Therefore, experience in experimental molecular biology and cell biology is a merit, as is understanding of physics and structural biology, and experience in
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qualifications We are looking for a highly motivated person with a strong interest in the field of sustainable catalysis with a focus on enzymatic systems. You should have a background in Physical Chemistry
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theoretical tools from the perspective of physical chemistry. The position requires sound verbal and written communication skills in English. If Swedish is not your native language, Chalmers offers Swedish
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monitoring in the field of inorganic, physical and organic chemistry, biochemistry, natural product chemistry, food science and microbiology. Visit us at https://www.slu.se/institutions/molekylara-vetenskaper
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, engineering physics, biomedicine, or similar Documented skills in data-driven analysis (machine learning using python with TensorFlow, PyTorch, or similar) and computational statistics Specific knowledge of big