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supervisor Dr. Camilla Engblom and co-supervisor Dr. Joakim Lundeberg, in the intersection of spatial transcriptomics, bioinformatics, cancer immunology, with the ultimate goal to understand tumor-associated
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Referensnummer IFM-2026-00053 Work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction
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pairs. The student will analyse a unique dataset of chromosome-scale genome assemblies and population genomic data to identify structural variants and adaptive mutations associated with genome duplication
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employed by MultiD Analyses AB and will split their time between MultiD at GoCo Health Innovation City and the University of Gothenburg, Gothenburg, Sweden. The academic supervisor is Professor Anders
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the time the applicant is admitted to the PhD program at the Department of Biochemistry and Biophysics. You meet general entry requirements if you have completed a second-cycle degree, or completed courses
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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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the time the applicant is admitted to the PhD program at the Department of Biochemistry and Biophysics. You meet general entry requirements if you have completed a second-cycle degree, or completed courses
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to receiving your application! 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
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the national Data-Driven Life Science (DDLS) program. About the position and the project As an industrial PhD student, you will be employed by the startup company PredictMe AB while being formally enrolled as a
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-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 to human