67 electrical-machine-"https:"-"https:"-"https:"-"https:" ";" Fellowship positions at Indiana University
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team members and collaborators. For additional information about the Liao research group, please visit: https://sites.google.com/view/chentingliao/ Department Contact for Questions: Questions
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-Ting Liao and in collaboration with other team members and collaborators. For additional information about the Liao research group, please visit: https://sites.google.com/view/chentingliao/ Department
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directions within the laboratory, and work independently while contributing to a dynamic and collaborative research environment. Basic Qualifications Required: Ph.D. in biomedical engineering, electrical
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Required: Ph.D. in biomedical engineering, biophysics, molecular biology, immunology, electrical engineering, or a closely related field Strong record of peer-reviewed publications Demonstrated expertise
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fabrication, professional and student machine shops, a polarized 3He lab, a dilution refrigerator, and a vibration isolated lab for weak force measurement. The laboratory possesses infrastructure on a
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degree must be in Physics; Chemistry; Materials Science and Engineering; Electrical Engineering; Chemical Engineering; Applied Physics; or a closely related field. Required Experience: Relevant hands-on
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degree must be in Physics; Chemistry; Materials Science and Engineering; Electrical Engineering; Chemical Engineering; Applied Physics; or a closely related field. Required Experience: Relevant hands-on
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post-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . Our lab studies spatial population genetics, using simulation-based inference and machine learning to
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applications for a post-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . The lab— in the Evolution, Ecology, and Behavior section—investigates machine learning
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for a post-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . The lab— in the Evolution, Ecology, and Behavior section—investigates machine learning approaches for