1,125 data-"https:" "https:" "https:" "https:" "https:" "https:" "University of Exeter" uni jobs at Nature Careers
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superconducting magnets and play a key role in connecting research, technology development, and international collaboration. You are a source of information on your area of expertise and work closely with engineers
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., blood, tissue, stool, etc.), their processing (e.g., PBMC isolation), and biobanking in adherence to ethical guidelines, data protection, and biosafety regulations and maintaining databases
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, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip
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and analyzing information relevant to research strategy and assisting in the development of institute-related concepts Your Profile A university degree with above-average grades, preferably a Ph.D. in
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multi-omics data resources to drive innovative research REQUIREMENTS: Master’s degree (or higher) in (bio-)statistics, epidemiology, mathematics, or a related discipline Proven proficiency in R Solid
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of technology which integrates robotics, computer vision, and data infrastructure to enable scalable, reproducible and data rich transformation platforms, supporting the team with subject matter expertise
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the transfer of new ideas from the lab to real-life applications, improving lives. The Computational Health Center (CHC) at Helmholtz Munich drives research at the intersection of artificial intelligence, data
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interdisciplinary and international team of bioinformaticians, molecular biologists, and clinicians to identify (i) targetable lesions for cancer patients in high-dimensional data, including next-generation
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Biomedical Engineering, Electrical Engineering, Computer Science, Data Science, Biomedical Informatics (Computational) or a related discipline who possesses strong computational and analytical expertise
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information is available from the faculty’s women’s representative (sandra.hemmers@cup.uni-muenchen.de). LMU Munich intends to enhance the diversity of its faculty members. Furthermore, disabled candidates with