36 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "University of London" positions at SciLifeLab in Sweden
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the lab and bioinformatic/statistical analyses of next-generation sequence data. The project will be conducted in collaboration with Prof. Göran Arnqvist (Evolutionary Biology Centre, Uppsala University
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can find more information about us on the Department of Information Technology website . The announced position is placed at the Vi3-Division of the Department of Information Technology, but is also
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spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality of MSI advances our understanding
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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Perturbation-based Multi-omics Inference of Gene Regulatory Networks
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at KTH in the Biotechnology doctoral program (according to KTH’s regulations). Signing a researcher agreement is a necessary condition to accept this PhD position. More information about Formulation of
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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%. Starting date June 1 2026 or as agreed. Placement: Uppsala For further information about the position, please contact: Magnus Lundgren, Head of the Ancient DNA unit, telephone: +46 18 471 26 96
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Contact information to trade union representatives . To apply for the position Log into KTH’s recruitment system in order to apply for this position. You are responsible to ensure that your application is
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information about us, please visit: The Department of Environmental Science . SciLifeLab houses national research infrastructures and has a mission to provide cutting-edge and enabling molecular technologies
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information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study