40 affective-computing-"https:" "https:" "https:" "UCL" "UCL" positions at SciLifeLab
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The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) invites applications for 22 postdoctoral fellowships starting in autumn 2026. This call marks the launch of a new
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DNA unit, you are part of a team that includes staff at Stockholm University, and is part of a research environment that includes the Human Evolution research program at Uppsala University and the
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
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developing and implementing data management for human data to meet future needs within data-driven Life Science research. More information about NBIS can be found at https://nbis.se . Duties We are looking
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guided by supervisors. Doctoral studies end with a thesis and a doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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at https://nbis.se. Duties We are seeking a candidate who wants to help enable life science research in Sweden that goes beyond what is achievable by individual researchers, a single university, or a single
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program 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 cellular processes
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within the development and evaluation of new materials in interaction with biological systems to understand the underlying principles. For us, it is equally important to study the impact of materials
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the last three years is considered an advantage. If there are special reasons, your degree may have been completed earlier. The ideal candidate holds a recent PhD in biophysics, computational biology