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-omics integration across genomic, transcriptomic, proteomic, and metagenomic data layers Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala
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and data science capabilities in Sweden. In 2026, the DDLS Research School will be expanded with the recruitment of 25 academic and 7 industrial PhD students. During the course of the DDLS program, more
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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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! At the Department of Medical Epidemiology and Biostatistics, we are announcing the position as DDLS PhD student in data-driven precision medicine and diagnostics. Data-driven precision medicine and
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epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life science (DDLS) uses data, computational methods, and
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transdisciplinary research field that explores how technology can support health and sustainability through digitalisation, data-driven systems, and intelligent decision support. About the position This PhD position
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life science doctoral student in Data-driven epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Molecular Biology/Umeå university, are searching for a DDLS PhD student in Data driven
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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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, or Technology Description: This PhD project sits at the intersection of forest genetics, tree breeding, and advanced forest operations, aiming to integrate genetic data with detailed harvesting and environmental