14 professor-computer-science-"https:"-"https:"-"https:"-"UCL" uni jobs at SciLifeLab
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Referensnummer REF 2026-0054 Chalmers University of Technology is host for a well-funded tenure-track Assistant Professor position in Data Driven Cell and Molecular Biology, in a vibrant
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The Department of Gene Technology, at KTH Royal Institute of Technology, is looking to fill a position as Assistant Professor focused on innovative development and application of computational
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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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universities. SciLifeLab forms an internationally unique infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and
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The Department of Environmental Science, ACES is one of the largest departments in the Faculty of Science at Stockholm University. The Department is divided into four units with more than 170
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. The position is based in the Computational Genomics Research (CGR) Lab, within the Data Science and AI division. About us The Department of Computer Science and Engineering , a joint department of Chalmers and
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Infrastructure (SBDI) and maintains the Swedish Species Observation System. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes
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biomedicine, biomolecular technology, and biodiversity converge working synchronously under one roof. With one of the highest concentrations of bioinformaticians and computational biologists in Europe, Campus
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life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all
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School of Electrical Engineering and Computer Science at KTH Project description Third-cycle subject: Computer science This project involves generative modeling to address missingness in mass