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Post Doc Res Assoc Job Summary The Ho lab at the University of Utah is launching an ambitious program to systematically discover, map, and therapeutically harness mitochondrial microproteins
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, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition
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rigorous methodologies, theory-driven insights, and empirically grounded research. The social scientific research conducted by CRISES will inform the vision and attainment of a world without invidious social
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, large language models, or computer vision is preferred Knowledge, Skills and Abilities: · Teamwork: Ability to collaborate with others and contribute to a team environment · Communication
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vision. Understanding or willingness to learn advanced statistical modeling is a plus Assessment criteria and other qualifications: This is a career development position primarily focused on research
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
machine learning applied to natural language processing, computer vision, or a related area. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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). Up to 83% of premium covered by the university: Employee and Spouse Employee and Children Employee and Family coverage Dental & Vision Life Insurance, Accidental D&D, Long Term Disability, Flexible
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Postdoctoral Position in Participatory Design of Autonomous Drone Systems and Human-AI Collaboration The Human-Centered Computing Group at Aalborg University (AAU) is seeking a talented postdoctoral
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities