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in biomedical data science, machine learning, biomedical artificial intelligence, and/or large language models and generative AI systems. Ideally candidates will demonstrate having led a team to
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Qualifications: Completion of a PhD in aerospace engineering, physics, or a related field at the time of the appointment. Experience in experimental plasma physics. Ability to function and thrive in a
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projects needing imaging. The program occupies 4500 NSF of laboratory space that includes an 11 MeV cyclotron, a cleanroom and hot cells, boxes for automated synthesis, and its own machine shop. The lab is
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Engineering Sciences research, such as additive and advanced manufacturing techniques, including composite materials manufacturing, biomechanics and biomedical engineering sciences, physics-based machine
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biomedical engineering sciences, physics-based machine learning and artificial intelligence modeling and controls, energy storage and electrification, renewable energy, robotics, turbulence and multiphase
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Position Overview School / Campus / College: College of Engineering Organization: Mechanical Engineering Title: Assistant Professor, physics-based Machine Learning/Artificial Intelligence Position
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, processing platforms and sensing technology, data processing and analysis, Machine Learning, database development, robotics, and data visualization. Instructions 1) Cover letter addressing qualifications
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). • Familiarity with cloud computing and machine learning techniques. Instructions Applications for this position should include a: (1) Curriculum Vitae with the names and contact information of 3 references (2
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, statistics, and machine learning. Teaching responsibilities will focus on marketing analytics courses in masters and undergraduate programs. The base salary range for these positions will be between $23,000
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in quantum information science and technology (QIST) in one of the following areas of interest: quantum control, machine learning to optimize QIST systems, quantum machine learning, and quantum