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19 Sep 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Economics » Other Technology » Energy technology Researcher Profile
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with machine learning or artificial intelligence methods with applications in chemistry Experience with and/or knowledge about quantum chemistry and computational chemistry tools Experience from academic
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We are looking for a highly motivated PhD student with a strong background in materials science, physics, or a related field. The successful candidate will investigate the structure and dynamical
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fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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Lecturer. Background Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
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infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data
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(DDLS) Fellows program. The successful candidate will join KI and conduct research at the Science for Life Laboratory (SciLifeLab) as part of a vibrant community of researchers from all the SciLifeLab
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. Required qualifications: Admitted to the Fire Safety programme at LTH or to the programme on Risk, safety and crisis management with a fire engineering background at LTH or to an education equivalent judged
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Doctoral student in materials chemistry with focus on electrolyte design for Mn-based flow batteries
researchers in other areas of chemistry, physics, and other engineering subjects is an important part of the third-cycle programme. Work duties You will primarily devote yourself to your doctoral programme
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of Health and Life Sciences, at the Department of Biology and Environmental Science. The research profile at this department is multidisciplinary and includes e.g. aquatic ecology, cell- and organism biology