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Field
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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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can work effectively both independently and as part of a team. Candidates should have a PhD in computer science, AI or a relevant subject area. The ideal candidate will have experience in working with
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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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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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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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facilities essential for this ambitious research programme. About the role The Spagnoli group in the Centre for Gene Therapy and Regenerative Medicine is seeking to appoint an enthusiastic, highly motivated
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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
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and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and
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research workflows, and, where possible, public tools or model artifacts. Basic Qualifications PhD (completed or near completion) in one of the following or a closely related field: Computer