2,506 assistant-professor-and-human-computing-"https:"-"https:"-"https:" Postdoctoral positions
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About the Role We are seeking a Postdoctoral Research Associate in Computational Modelling for Cardiovascular Digital Twins to join a team working on the Precision Health, Cardiovascular Devices and
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, transitions of control, driver awareness, and the communication of system capabilities and limitations. The project brings together expertise from human-computer interaction, AI, human factors, cognitive
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Tzameret, and his group. This post is based at the Department of Computer Science and on-site working is required. Remote working is possible in agreement with Professor Rahul Santhanam. What We Offer As an
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, No UMO-2020/39/I/NZ5/03104, Dissecting cancer activome to develop new generation of antibody-drug conjugates, PI: PhD. Eng. DSc. Marcin Poręba, professor at WUST Type of position: research assistant
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Ref.: 537277 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Research Assistant
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novel treatment strategies. The successful candidate will contribute to a programme of research examining how metabolic factors influence the ability of Candida spp. to cause fungal UTIs. The postholder
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=29271 Postdoctoral Research in Human-Centered AI Behavior in Medicine (m/f/d) Stellenanzeige merken
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 15 hours ago
candidates to apply to the DOE Science, Technology, and Policy (STP) Fellowship Program via the U.S. Department of Energy's (DOE) Workforce Readiness Accelerator for Major Projects (RAMP) program under the DOE
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About the Role We are seeking a Postdoctoral Research Associate in Computational Modelling for Cardiovascular Digital Twins to join a team working on the Precision Health, Cardiovascular Devices and
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their wild relatives over thousands of years. In this project, you will develop and apply computational omics approaches to uncover the molecular mechanisms underlying ancient plant–microbiome