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Field
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environment for all team members. Qualifications A Ph.D. in Physics Applied Physics Nanotechnology Photonics Electrical Engineering or other relevant field is required. Experience with any of the following is
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all team members. Qualifications A Ph.D. in Physics Applied Physics Nanotechnology Photonics Electrical Engineering or other relevant field is required. Experience with any of the following is
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the areas of automation, formal system verification, control, autonomous robots, machine learning, and AI. The Automation group is an integral part of the Department of Electrical Engineering (E2) which
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. Eligibility A PhD degree in the field of structural biology and biological and/or protein engineering obtained in a preclinical research environment. Hands-on research experience in biochemical and biophysical
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prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers). Exceptions from the 3-year limit can be made for longer periods resulting from
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-edge technologies to generate precisely engineered CAR-T cells using gene targeting, and new types of adeno-associated viruses (AAV) that allow for T cell specific genetic manipulations. The current goal
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School of Electrical Engineering and Computer Science at KTH Job description Research in collaboration with medical doctors for patient data analysis using machine learning has a high impact on
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18 May 2024 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Chemistry » Other Physics » Other Researcher Profile Recognised Researcher (R2) Country Sweden
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Maritime Sciences , the research focuses on understanding and improving the safety of road users applying engineering and human factors methods. Specifically within injury prevention research, we work from
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a doctoral degree awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers). Exceptions from the 3-year