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Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science
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of "America's Best-In-State Employers" for 2025. Location Statesboro Campus - Statesboro, GA Department Information Computer Science Job Summary The Student Assistant will support the Department
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effectively work with sponsors and stakeholders Minimum Education and Experience Ph.D. or equivalent terminal degree in Electrical Engineering, Microelectronic Engineering, Photonic Engineering, Physics
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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to improve conservation program delivery through behavioral science. This is a rare opportunity to help establish one of the first embedded behavioral science programs within USDA conservation delivery while
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
simulations, membrane biophysics, physical chemistry, soft condensed matter or computational structural biology. PhD Project 2 – Adaptive Functional Materials for Neuromorphic Computing (CRC 1459) Adaptive
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 14 hours ago
Intelligence and the Life Sciences. We are building an AI-native, closed-loop research engine where automation, computation, and intelligent agents work together to decode, model, and rewrite biological circuits