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PhD candidate for the project "Modulation of inflammatory Dendritic cell subsets in atherosclerosis"
challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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The Department of Radiology at the University of Washington is recruiting for one full-time (100% FTE) faculty position at the level of Research Assistant Professor with an anticipated, but flexible, start date
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. The department has a strong international research staff with expertise in dynamical systems, topology, geometry and algebra, as well as in stochastics (statistics, data analytics, probability). Faculty of Science
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hold a Master's degree in Materials Science and Engineering, Mechanical Engineering, Physics, Applied Physics, Metallurgy, or a closely related discipline. You have a strong background in physical
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programme in Physics or Biophysics at the Faculty of Natural Sciences, alternatively the PhD programme in Medical Technology at the Medical Faculty, within three months of your employment contract start
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Candidate 51 Faculty of Physics Job vacancy starting: 15.10.2026 | Working hours: 30.00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: 14.10.2029 Job ID: 6207 Are you
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at the intersection of the Knowledge and Intelligent Design group and the Materializing Futures group in Sustainable Design Engineering (SDE), a department within the Faculty of Industrial Design Engineering. Job
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Faculty Professor Research Assistant - Full-Time Med-Neurology - Pennsylvania-Pittsburgh - (26004593) The University of Pittsburgh School of Medicine, the Department of Neurology is currently
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of these models therefore remains a key scientific challenge. In this PhD project, you will develop and apply data-fusion methods that combine physics-based wind farm models with wind tunnel and field data. A