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, computer science, and optimization (including machine learning) are welcome, preferably with experience in algorithmic game theory, decision theory, computational social choice, social welfare, and fairness
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pathways, including deactivation processes. Screening and fine-tuning catalysts to enhance performance. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group
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studying deformation mechanisms in refractory alloys as via atomic-scale calculations as well as application of machine learning to materials discovery The ideal candidate will have the following
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abilities and values to serve our regional, national, international, and military communities, and create a nurturing and learning environment for students, faculty, and staff. Primary Purpose of the Position
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candidate with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental
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We are seeking a highly motivated and skilled individual to join our neuroimaging laboratory, which specializes in multimodal image fusion, multiparametric modeling, and machine learning techniques
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, quantum cryptography, quantum program verification, quantum machine learning, etc. ● Within the predetermined research scope and methodology, conduct research experiments in the field of Quantum
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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on their own research and connecting to colleagues across the university. Depending on interests and feasibility, they may be able to teach and/or engage in off-campus fieldwork with Professor Bezner Kerr