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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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://www.academictransfer.com/en/jobs/363733/phd-candidate-multimodal-and-ag… Requirements Specific Requirements Profile We welcome candidates with an MSc or equivalent expertise in artificial intelligence, medicine, computer or
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organizational and record-keeping skills. Computer skills in both Mac and PC environments, including use of standard programs, e.g. Word and Excel, as well as imaging programs and online interfaces. Ability
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fundamental learning procedures to tackle distressing images related to aversive memories. The aim is to generate insights with direct impact on clinical practice and patient wellbeing. PhD Candidate Reducing
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job details https://www.agh.edu.pl/o-agh/praca-w-agh Work Location(s) Number of offers available1Company/InstituteAGH University of Krakow, Faculty of Computer ScienceCountryPolandState
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PostdoctoralResearcher in Radio Frequency Fingerprinting using Machine Learning who has: strong experience in signal processing, machine learning or a related field a PhD (or near completion) in signal processing, machine
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Location Lexington, KY Grade Level 46 Salary Range $53,061-87,526/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https
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PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis Job No.: 695949 Location: Clayton campus Employment Type: Full-time Duration: 3-year and 3-month fixed-term appointment
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
other research. Specifically, the incumbent will conduct collections of epithelial and submucosal gland mucus, perform biophysical and structural characterization, process and analyze tracheal tissues
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workplace. To learn more about our culture and hiring process, explore our Jobs at Macquarie page. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/415635/research-fellow-pho