35 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at Karolinska Institutet (KI) in Sweden
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from Hi-C and Capture Hi-C experiments. Have experience developing graphical user interfaces (GUIs). Candidates with knowledge or experience in machine learning methods will be prioritized. Successful
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offering a high living standards, access to a sprawling city life as well as the beautiful nature surrounding the city. https://ki.se/en/research/research-areas-centres-and-networks/research-groups/robert
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as well as a resumé and a qualifications portfolio including a description of your research plan, both presented in accordance with Karolinska Institutet’s template (http://ki.se
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» Biochemistry Chemistry » Other Computer science » Informatics Computer science » Computer systems Computer science » Digital systems Medical sciences » Medicine Medical sciences » Other Researcher Profile First
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/or spatial genomics, computational biology, machine learning, bioinformatics, and systems neuroscience. Prior experience with deep learning applied to biological data is a plus. Practical experience
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systems. Combination of behavior with large-scale neural recordings using silicon probes, miniscope, or 2P imaging. Ability to explore and analyze large datasets using modern machine learning methods and a
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tools, as well as an increased focus on interprofessional collaboration, early clinical exposure, team-based learning, and person-centered care. To strengthen the role of education in an increasingly
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health for all Where to apply Website https://ki.varbi.com/en/what:job/jobID:897835/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research
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‑related aspects of nervous system function: https://ki.se/en/neuro/research/group-leaders-at-the-department-of-neuroscience SciLifeLab is a national research infrastructure providing unique technologies and
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for two years. Want to make a difference? Join us and contribute to better health for all! Where to apply Website https://ki.varbi.com/en/what:job/jobID:896647/type:job/where:39/apply:1 Requirements