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-wide in-person events, typically in New York. Basic Qualifications Researchers holding a PhD related to programming languages, artificial intelligence, and machine learning. Researchers with experience
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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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theory, and topology, with potential interdisciplinary applications. A PhD in Mathematics or a closely related field, as well as an active Christian faith, are required. What You Will Do: Duties include
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have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes. NREL supports inclusive, diverse, and unbiased
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have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes. NREL supports inclusive, diverse, and unbiased
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have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes. NREL supports inclusive, diverse, and unbiased
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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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thinking, resource management, and writing skills Skills and abilities: This will vary based on the hiring manager’s preferences and should include things that can be learned or trained for. Organizational
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 4 hours ago
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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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