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instructional classes for new users of the SEAS machine shop -Instruct users in machine shop best practices and fabrication techniques. -Ensure all personnel in the shop are following University shop policy and
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, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, additive manufacturing, extended reality (XR
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-doctoral candidate. • Experience with machine learning techniques and their integration into agent-based models. • Familiarity with parallel computing and cloud-based simulation environments. • Knowledge
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Professor level with a target starting date of September 1, 2026. The search is across the broad areas of Statistics and their applications in machine learning. The ORFE department is part of the School
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well as the rigor, innovation, and interdisciplinary emphasis of the proposed seminar course.The appointment period will be for either the Fall 2026 or Spring 2027 semester. The Anschutz Fellow(s) will teach one
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postdoctoral and PhD researchers on the team*Interest in developing and applying Large Language Models (LLM) and spatial Machine Learning (ML) modelsSalary and full employee benefits are offered in accordance
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required using a variety of equipment and tools such as: milling machine, lathe, drill press, band saw, and other industrial tools. Assist in the set up and operation of pneumatic, mechanical, and
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: 277494300 Position: Postdoctoral Research Associate in Microfluidics, Nanofabrication, and Nanophotonics Description: The Department of Electrical and Computer Engineering has opening for postdoctoral
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(minimum), accredited trade school graduate (preferred). 5 years + (with trade school) experience in fabrication/machine shop, energy industry or DOE research laboratory OR 10 years + (without trade school
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials