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for people who want to apply existing technologies. We’re looking for people who want to invent the tools and methods to make impossible experiments possible and push science forward. For more information
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JUPITER at the Jülich Supercomputing Center. If you`re passionate about AI research and eager to make a real-world impact, we want to hear from you! Your Job: Work on a wide range of computer vision and
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to join a collaborative, diverse, and creative research team. Experience in molecular biology, data analysis, and animal experiments is an advantage. The successful candidate will apply molecular and
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, identifying trends, patterns, and insights from the data to drive operational improvements. Works closely with other teams to ensure quick and efficient routine and emergency maintenance procedures
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Implement new but established protocols without individual training Troubleshoot experiments and identify anomalies in own data Consistently monitors current literature and trends within field Accurately
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the contact information for 3 references to: Ken Kang-Hsin Wang, Ph.D., DABR Associate Professor CPRIT Scholar in Cancer Research Division of Medical Physics and Engineering Department of Radiation
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regulating molecular responses to cancer therapies in human induced pluripotent stem cells) data for elucidating molecular mechanisms for health outcomes; and 3) evaluating health disparities through
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. Further information can be obtained from the Dean of the Faculty, Pr Du Pasquier or the Head of the Department of psychiatry, Pr von Plessen. They should be submitted online by February 19th 2026 23:59
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the legal and regulatory requirements of the position. Further information can be obtained from the Dean of the Faculty, Pr Du Pasquier or the Head of the Department of Psychiatry, Pr von Plessen
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Research Associate (f_m_x): Political and Social Sciences, Spatial and Planning Sciences - VELOCI...
develops and tests Urban Digital Twins (UDTs) as decision-making and participation platforms for municipal climate adaptation – combining visualisations (“what-if” scenarios) and innovative geo-/data