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Field
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. The appointee will primarily conduct research applying advanced machine learning/AI (including techniques like deep learning) to analyze complex biological and clinical data (e.g., single-cell multi-omics
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, experimental, or computational techniques. Experience in applying for research funding. Skilled in analyzing and interpreting data (e.g., using MATLAB, R, Python). Ability to write papers and reports for peer
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and explain trends; formulate and evaluate alternative solutions and/or recommendations to achieve the goals of the program or function. Write and/or edit complex content for proposals, research grants
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. By joining our faculty, you’re not just advancing your career; you’re shaping the future of education and research in meaningful ways. You’ll be empowered to innovate and address complex global
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experiments of considerable scope and complexity in the assigned research lab focusing on enteric neuropathy in postoperative ileus and GI disorders; collects and analyzes data for research sponsored by
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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We are seeking a highly motivated Postdoctoral Research Scientist with a strong background in human induced pluripotent stem cell (iPSC) differentiations and computational analysis to join Dr
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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of Medical Research. The laboratory specialises in single-cell RNA sequencing, spatial transcriptomics and computational pipelines applied to patient biospecimens to understand the complexity of intestinal
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Computer Science, Applied Mathematics, Physics, Computational Biology, Neuroscience with Computational or Theoretical focus, or a closely related field. Preferred Qualifications: Familiar with Information Theory