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the division of Data Science and AI , we develop data-driven methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and
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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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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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investigator, other postdocs, PhD students, and external collaborators to advance research objectives and generate high-impact results. In addition to research, some participation in supervision of doctoral
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experimental development is central Application The application should be written in English or Swedish, and attached documents should be in Word or PDF format. The application should be registered via Umeå