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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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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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-institutional constellation of SciLifeLab researchers and infrastructure units. The Human Protein Atlas (HPA) is a large-scale international effort to map the spatial distribution of proteins in human cells
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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of pancreatic slices cultures, develop approaches for their cryopreservation, and distribution. The researcher will also run single-cell genomic and spatial transcriptomic assays on pancreatic tissue. The project
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binding with simulations and quantitative modeling to gain a physical understanding of life at the molecular level. We are recruiting a Postdoc that wants to use and develop state of the art methods