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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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Learning) and Associate Professor Sofia Mikko (SLU). The supervisory team brings expertise in computer vision, machine learning, and genomics, providing a strong foundation for interdisciplinary training. We
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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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each year. You can find more information about us on the Department of Information Technology website . The project is led by Professor Joakim Lindblad, at the Centre for Image Analysis and the Vi3
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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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sciences Collaboration with experts in lab science, medicine, and machine learning Modern GPU compute infrastructure A chance to contribute to cutting-edge research with real-world impact Who you are Strong