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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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further opportunities for interdisciplinary training. For more information about the research and study program, visit: https://www.lai.fuberlin.de/en/temporalities-offuture/index.html Job description
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principles of machine drives and converters. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise doctoral students. Our strong industry
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postdoctoral researcher with a background in politics, law, economics, or related disciplines to work on GEOCLOUD: The Geopolitics of Cloud Computing , a European Research Council Advanced Grant project
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, Mechanical, Thermal Engineering or Computer Science. Experience Experience in conducting high quality academic research. Demonstrable ability to write material of a quality commensurate with publication in
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developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from childhood into adulthood. The role involves working
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solving skills and a strong publication record are a plus Proficiency in statistics used in the life sciences is desired Experience in computer programming would be a plus Preferred Special Knowledge
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University of Texas Southwestern Medical Center | Dallas, Texas | United States | about 18 hours ago
Description Applicants are sought for a postdoctoral scholar position in the field of medical imaging and physics, in the Advanced Imaging and Informatics for Radiation Therapy (AIRT) Lab of the University
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[map ] Subject Areas: Numerical Analysis/Scientific Computing Appl Deadline: none (posted 2025/04/18) Position Description: Apply Position Description The Department of Mathematical Sciences
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Interdisciplinary Training in Mathematics for Human Health,” supported by the National Science Foundation. RTG themes include modeling in cancer biology, computational neuroscience, and mathematical epidemiology