641 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"Dr" Postdoctoral positions in United States
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Center Department: CCC | Comprehensive Cancer Center Position Summary This program provides multidisciplinary training across the full spectrum of cancer prevention and control, including cancer risk
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Cancer Center Department: CCC | Comprehensive Cancer Center Position Description This NIH-funded program provides multidisciplinary training across the full spectrum of cancer prevention and control
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on this tradition, the program is now positioned to lead the next era of FLASH and ultra-high dose rate radiotherapy research, leveraging decades of excellence in both biological discovery and technological
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to 8 hours/day, lifting <30 lbs, may view computer up to 8 hours/day. Shift Generally Monday – Friday, 8a-5p with some flexibility Job Summary This position is designed to have 70% clinical time, 15
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and tool-using agents for experiment design, simulation steering, data collection, and lab/compute orchestration; planning and memory; multi-agent collaboration. Scientific Reasoning: Program/path
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for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease. Key
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with the PI and other group members. Refines their independent project, and be responsible for analytic design and carrying out computational/bioinformatic strategies. Takes lead in writing scientific
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platform for launching an independent academic career focused on AI and the future of scientific practice. Responsibilities Build and maintain computational data pipelines to collect and structure evidence