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career development plan. The program integrates international, interdisciplinary, and intersectoral elements to provide a well-rounded educational experience. Networking Opportunities: Build lasting
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-looking environment where you can both use and develop your technical skills? Then this position may be right for you. The Department of Medical Sciences (IMV) is a large clinical department with
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SciLifeLab, aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total
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of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as flow matching. Therefore, the doctoral
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universities/organizations, but brought together under the DDLS program, which has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology
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SciLifeLab, aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total
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on the applicant’s research profile. The assistant professor will contribute to the development of the Planetary Biology program at SciLifeLab at Campus Solna, with support from the department where he/she will be
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. The goal of this project is to advance gene regulatory network (GRN) inference from multi-omics data by developing novel AI techniques that exploit the knowledge of gene perturbations (experimental design
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program based in Sweden that been systematically mapping the localization of human proteins in cells, tissues and organs during the past 20 years. For this project, we map the subcellular distribution
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to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of 3.3 billion