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and Deadline Information Please create a candidate profile at https://jobs.illinois.edu . Applications must be received by 6:00 pm (CDT) on April 1, 2026. Required Documents to be submitted for full
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 3 hours ago
) REPORTS TO: David Shelledy, PhD, RRT, FAARC, FASAHP Dean and Professor, School of Health Professions LOCATION: San Antonio, Texas An outstanding leader is sought to guide
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Exploiting activation of senescence tumour suppressor mechanisms by Salmonella enterica for the treatment of cancer School of Biosciences PhD Research Project Self Funded Dr D Humphreys Application
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: https://kaunasin.lt/en/live-in-kaunas/ Application Process Applications must be submitted electronically by e-mail. Deadline: 30 January 2026, 16:00 CET E-mail: talent.pool@lsmu.lt Subject line: My First
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, working with the Medical Image Analysis and AI research group within the School of Computing Science. The successful candidate will develop novel computational frameworks integrating biophysical tumour
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part of the selection process. For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/. The University, at its discretion, may
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
of "new engineering programs", help solve the bottleneck problems for China's core technologies, and establish a new paradigm that connects research frontiers with regional industries. School of AI
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operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics
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, artificial intelligence—and particularly machine learning methods—has become indispensable. Depending on the specialty, processed data may include numerical values, point clouds, text or images, often