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seekinga Postdoctoral Research Fellow to work on projects related to molecular design including small molecules and proteins using biophysics and machine learning. Responsibilities* The selected candidates
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present data in a clear and concise manner. · Participate in the preparation of IND submissions, grant applications and scientific publications. Your qualifications should include: · PhD
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limited to 5-axis milling, low speed machining dynamics, free form optics, physics informed machine learning (PIML), robotic machining, cutting tool design, hybrid manufacturing context. - Draft Conference
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Postdoctoral position. This position is available to individuals with research interests in applications of machine learning and artificial intelligence to wearable sensor data for nutrition research. Publishes
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Investigator, the Postdoctoral Fellow will conduct specialized cardiovascular research techniques and procedures with focus on artificial intelligence and machine learning platforms that will promote precision
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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pursuing a PhD in Sociology, Organizational Studies, Education, or Public Policy. This position is based in the Department of Sociology at Harvard University in Cambridge, MA. The appointment term
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. We are looking for a highly motivated candidate with a PhD and/or MD degree interested in using novel biological and computational methods with the aim of developing novel strategies to improve CAR T
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to generate and publish high-impact machine learning research. Collection, curation, and maintenance of neural datasets Building lab equipment and software infrastructure for neural engineering experiments
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related to the preparation for a career in research or academia, participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree