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7 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Engineering » Control engineering Engineering » Electrical engineering Engineering » Systems
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ecosystems. SciLifeLab and Wallenberg's national program for data-driven life science (DDLS) aim to recruit and train the next generation of researchers in data-driven life science and create globally leading
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composed of the following four departments: The Department of Infectious Diseases The Department of Microbiology and Immunology The Department of Medical Biochemistry and Cell Biology The Department
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part of the SciLifeLab and the research school of the Wallenberg National Program for Data-Driven Life Science (DDLS), within the research area Cell and Molecular Biology. To achieve this, the doctoral
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 27 days ago
1 Sep 2026 Job Information Organisation/Company Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg Research Field Medical sciences Researcher Profile First Stage
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14 Jul 2026 Job Information Organisation/Company The Swedish University of Agricultural Sciences (SLU) Research Field Biological sciences Researcher Profile Established Researcher (R3) Application
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11 Jul 2026 Job Information Organisation/Company Institutionen för mark och miljö Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Application Deadline 10 Aug 2026
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studies. About the DDLS program Data-driven life science (DDLS) combines data, computational methods, and artificial intelligence to study biological systems from molecular structures to human health and
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is part of the national research programme DDLS. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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. Meritorious A degree in bioinformatics, computational biology, (bio)statistics, (applied) mathematics, computer science, or a related field; candidates from other fields with strong programming/coding skills