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Field
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Biology with both high-throughput experimental (proteomics and genomics) and integrative computational (network analysis and machine learning) methodologies, aiming to understand gene functions and their
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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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Postdoctoral Researcher – AI-Augmented Decision Science Indiana University Bloomington Department of Psychological & Brain Sciences and Luddy School of Informatics, Computing, & Engineering Position Overview
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-Informed Neural Networks (PINNs) and geometric deep learning. Experience with active learning, agentic workflows, or other methods for autonomous experimentation. Familiarity with high-performance computing
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faculty working on questions related to the ecology, evolution and conservation of biodiversity throughout the world, while the associated Interdisciplinary Program in Ecology and Evolutionary Biology links
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competitive salaries, full benefits, an extensive support network, and above all, an enriching and highly collaborative working community that is deeply passionate about our vision for higher education
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program is your gateway to an exciting, transformative opportunity. PRISM is designed for graduate students from all fields who want to explore world-class postdoctoral training at Stanford University
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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theory concepts with new empirically derived models and new data science ideas. About NYUAD: New York University has established itself as a Global Network University, a multi-site, organically connected