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Field
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Intelligence and Machine Learning. Join a team of scientists at the leading macromolecular crystallography beamlines, the crystallization laboratory, the computing center and contribute to science projects
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continued funding availability. Required Minimum: PhD degree in Civil Engineering Preferred Qualifications: Demonstrated expertise in water resources and ecohydrological modeling. Demonstrated research
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the application to the Voss postdoctoral program. In special cases, successful applicants may have the opportunity to teach undergraduate courses. A $3,000 salary supplement will be provided to successful
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Intelligence and Machine Learning. Join a team of scientists at the leading macromolecular crystallography beamlines and at the computing center and contribute to science projects at the interface between AI
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is found. The successful candidate will develop and apply computational approaches to biochemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus. Many of
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applications in cancer immunotherapy. We are seeking highly motivated individuals who have obtained a PhD degree in immunology, cancer biology, or a related field. The successful candidates should have
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, or robotics. • Knowledge of artificial intelligence, machine learning, computer vision, • sensing, data analytics, simulation, human-technology interaction, or cyberinfrastructure. • Knowledge of construction
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including, Microsoft Office (e.g., Word, Excel, PowerPoint, Access). Knowledge of Preformulation/Drug Delivery Systems/Analytical Chemistry. Minimum Qualifications PhD from an accredited college or university
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research facilities, and high-performance computing resources. Education Requirement: - MBBS, MBBCh, MS, MD, PhD, or MD/PhD in Radiology, Medical Physics, Biomedical Engineering, Computer Science, or a
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Yip and Dr. Nikolay Atanasov (Department of Electrical and Computer Engineering), and will also collaborate with co-investigators at Stanford University, UC Santa Barbara, Vanderbilt University, UNC