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physical presence throughout the entire employment. A valid residence permit must be presented by the start date, otherwise the offer may be withdrawn. What we offer As a postdoc at Chalmers, you are
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with probabilistic machine learning for the next generation of AI models – uncertainty-aware foundation models,...
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at the Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University. Reference number: SU-465-0125-26. Deadline for applications: Sep 30, 2026 Stockholm University is a leading European university offering a multicultural environment in one of the world’s most dynamic...
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collaboration with experimental LNP PhD / PostDoc projects in the Barriga Lab and with M. Carroni at the Cryo EM facility SciLifeLab. Other responsibilities may include teaching, supervision and contributions
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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Job description Tissue organization is achieved by the genome encoding both cell type identity and extracellular signaling, but how cell types, signaling mechanisms, and transcription factors...
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KTH Royal Institute of Technology, School of Engineering Sciences Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang,...
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methods are developed in parallel, the postdoc will develop systems and services that make biological data accessible to AI and computational tools, collaborating closely with the Human Protein Atlas (HPA
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the skin, and what physical mechanisms govern each step. The work is highly interdisciplinary, bringing together microfluidics and organ-on-chip platforms, custom microscopy, cell culture, 3D printing
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GPU infrastructure. This Postdoc position is part of the eSSENCE graduate school in data-intensive science. The school addresses the challenge of data-intensive science both from the foundational
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for library preparation and sequencing. The project builds on a recently developed microfluidic platform available through collaboration with the research group of Johan Henriksson (Department of Molecular