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the following areas: deep learning, reinforcement learning, imitation learning, robot perception, navigation, and manipulation. Experience with whole-body control, humanoid or multi-DOF platforms, and
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learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include: Development of ML/DL methods for multi-omics data analysis. Design and implementation
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) for the doctoral programme in Computer Science, concluding with a doctoral degree. Start date: 1st of May 2026 Project description The multi-disciplinary centre for cyber resilient AI, RESIST, is a national effort
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application! Work assignments The multi-disciplinary centre for cyber resilient AI, RESIST, is a national effort funded by the Swedish Strategic Research Foundation (SSF) to bring together leading researchers
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your application! We are looking for a PhD student in Medical Science, as part of the larger EU Marie Curie MCSA Doctoral Network STEM-CORE. Are you passionate about working with stem cells or stem cell
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, clinical research, or translational science. Workflows: Proven track record in developing and implementing workflows to analyze biological data (e.g., proteomics, genomics, transcriptomics or multi-omics
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: Development of ML/DL methods for multi-omics data analysis. Design and implementation of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge
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31 Jan 2026 Job Information Organisation/Company Umeå Plant Science Center Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Application Deadline 27 Feb 2026 - 23:00
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within a Research Infrastructure? No Offer Description Stockholm Resilience Centre (SRC) explores how people and nature can live and develop on a planet under pressure. The Centre is a collaboration
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the Faculty of Engineering, in our well-equipped laboratories at the Biomedical Centre at Lund University. You can find more information on our research website . We care about creating a positive, respectful