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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
. Candidates with expertise in related areas, such as lattice field theory algorithms, machine-learning methods for lattice field theory, hadron spectroscopy, or hadron-structure phenomenology, are encouraged
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: Ph.D. in Robotics, Mechatronics, Electrical Engineering, or a closely related field (for example, mechanical, computer, or controls engineering), conferred by the start date Demonstrated experience
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discipline. * Growth Mindset & Curiosity: Broad technical curiosity with a willingness to rapidly learn and bridge technical knowledge gaps (whether on the AI software side or the physical robotics/polymer side
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
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Job Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived
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Requirements Standing or sitting up to 8 hours/day, lifting <30 lbs, may view computer up to 8 hours/day. Shift Generally Monday – Friday, 8a-5p with some flexibility Job Summary This position is designed
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spectroscopy. Experience designing custom experimental hardware, vacuum systems, and plasma diagnostics. Experience applying machine learning methods for predictive analysis. Expereince with the Python
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University of California, Los Angeles | Los Angeles, California | United States | about 15 hours ago
seeking applicants for a full-time postdoctoral scholar position in Computational Immunology and Genomics. The successful candidate will develop and apply computational, statistical, and machine-learning
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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
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the highest international impact in the field of computer vision. It also promotes the transference of knowledge to industry and society. Computer vision is an exciting research area and an omnipresent