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develop independent research aligned with the aims of the Addiction & Decision Neuroscience Lab ( ADN ). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world
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conduct cutting-edge research under the mentorship of a Principal Investigator, Dr. Shusen Pu, to support projects under the Center for Computational Intelligence. This position will collaborate on the
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lead the MCCS Computational Science Center (CSC), https://www.nlr.gov/computational-science ) at the National Laboratory of the Rockies (NLR). The CSC stewards the largest HPC environment in the
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Performance Standards, as well as track developmental screenings related to health: Kan Be Healthy Exams, vision, hearing, lead. Develop and maintain current Individual Family Partnership Agreements for
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in applicants with research interests and expertise bridging computer science, data-driven modeling, and process-based modeling of hydrologic systems for improving the monitoring, modeling, prediction
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, artificial intelligence, computer vision, robotics, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise
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information and support, please visit UBC’s Center for Workplace Accessibility website at https://hr.ubc.ca/health-and-wellbeing/workplace-accessibility/centre-workplace-accessibility or contact the Centre at
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Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site Real-World Data: https://www.fda.gov/about-fda/oncology-center-excellence/cardioonco-ai-ai-empowered-cardiotoxicity-risk
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The University of British Columbia | Northern British Columbia (Fort Nelson), British Columbia | Canada | 27 days ago
in AI-based protein design and modeling, teach undergraduate and graduate course on fundamental and current topics as relevant to BMB, supervise and mentor undergraduate, graduate, and postgraduate
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large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment Experience with human-in-the-loop