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environment. Day-to-day, you will be immersed in a variety of exciting projects, such as enhancing and evaluating large language models (LLMs) for decision-making, optimizing LLM training for low-resource
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the School of Allied Health Professions, Pharmacy, Nursing and Midwifery (https://www.sheffield.ac.uk/ahpnm ), you will join a vibrant community of teachers and researchers building the discipline of Pharmacy
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. For information about the benefits offered, please visit the Benefits web site . Job Summary: The Human Resources Department at Lansing Community College models leadership that promotes a caring, committed
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
, and real-time classroom monitoring. Design and implement machine learning models to analyze multimodal data (e.g., student behavior, engagement, and performance) to enhance personalized learning
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, philanthropic interests, and estimated giving capacity Develop statistical models and reports in collaboration with analysts and consultants to support effective prospect identification and provide insights
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The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/) at the Andlinger Center for Energy and the Environment invites applications for postdoctoral
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ancillary programs. Lead complex financial modeling, forecasting, and scenario planning to support expansion, restructuring, and new program development. Collaborate closely with the Department Administrator
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of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. TO APPLY Please apply online at https://hr.uconn.edu/jobs , Staff Positions, Search #499527
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to the search coordinator at kskovgard@uidaho.edu . Applicant Resources https://www.uidaho.edu/human-resources/careers/applicant-resources Background Check Statement Applicants who are selected as final possible
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sorghum, using new whole genome CRISPR screening techniques that the lab has developed. The project is in close collaboration with computational approaches that model the genes and circuits that make cells