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environment that connects experts ranging from theoretical modelling to biomedical applications. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294597/phd-research-fellow
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prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is
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Vacancies PhD position on: “Functional Membranes through advanced foaming” Key takeaways Within Membrane Surface Science (MSuS), part of the Department of Membrane Science & Technology (MST
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-electrocatalysts - Energy nanomaterials, Biomaterials and their biomedical applications, High-throughput screening, Carbohydrates Chemistry and Medicinal Chemistry, and AI/Robotics for Chemistry among others
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, to join our team! We are located at the Department of Biomedical Informatics (https://www.chiragjpgroup.org/members.html ), Harvard Medical School, with affiliations with the Harvard Data Science Institute
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addition to teaching duties, the PhD candidate is expected to conduct research in the field of (deep) machine learning, with applications in either biomedical image understanding (e.g., surgical video analysis in
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, Statistics for the Biomedical Sciences, as well as other department courses. In addition to teaching responsibilities, successful candidates are expected to make meaningful and substantive service
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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writing and presentations at conferences and workshops. Qualifications: PhD in Biomedical Engineering, Medical Robotics, Computer Science or a closely related field Strong background in medical image
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students from a range of backgrounds and experiences. Preferred Education and Experience: · PhD or equivalent in Computer Science or a related field · A minimum of 3 years of industry experience