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analyses. The postdoc will be hosted at TDB, co-supervised by both groups, and will work at the interface of scientific computing, machine learning and particle physics. Project description Searches for dark
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to the group’s open-source software, and participation in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, computer science
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collection parameters for automated analysis pipelines; developing, optimising and implementing AI/ML workflows and validating analysis using physico chemical approaches. The research will be in close
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foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Strong written and verbal communication skills in English Proficient in a programming
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postdoctoral researcher in AI modeling. The position will be embedded in the AICell Lab at KTH and SciLifeLab. The successful candidate will collaborate closely with Avlant Nilsson’s cancer cell modeling lab
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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Join us! The Department of Materials Science and Engineering aims to be an environment for successful and valuable research and education with a focus on materials science solutions for important
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postdoctoral in Biological Data Systems to develop scalable data infrastructure and computational systems for large biological datasets. The position will be embedded within the Human Protein Atlas at KTH and
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. The developed methods will form the foundation for future large-scale molecular imaging and modeling efforts within Alpha Cell. The position offers substantial methodological independence. Your profile To be
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existing genomic datasets and enable analysis of gene regulation at cell-type resolution. The project places particular emphasis on ensuring high data quality and developing robust methods that can be