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. • Contribute to the development of future grant applications. • Other activities as required. QUALIFICATIONS Required Qualifications • PhD completed within the last 5 years in Computer Science, Data Science
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designers to shape a future in which humans and AI collaborate to solve the most challenging biological and medical problems! The HIDIVE Lab in the Department of Biomedical Informatics at Harvard Medical
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Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine | New Haven, Connecticut | United States | 2 months ago
to therapeutic discovery You bring PhD in computer science, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s) Experience
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
Position Overview The Center for Computational Medicine at The University of Texas at Austin invites applications for a Postdoctoral Fellow to lead innovative research at the interface
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expertise from computational sciences, chemistry, pharmacy, biology, and medicine. The convergence environment comprises three PhD positions and one postdoctoral position. PhD Position within PERMEATE We
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framework and providing human-in-the-loop validation of AI-generated experiment recommendations. You will make use of our dedicated Autonomous Chemistry Laboratory (ACL) and collaborate closely with
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healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with
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of) a PhD in computer music, product/industrial design, human-computer interaction (HCI), disability studies, mechanical engineering, mechatronics, robotics, design engineering or other relevant field
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designers to shape a future in which humans and AI collaborate to solve the most challenging biological and medical problems! The HIDIVE Lab in the Department of Biomedical Informatics at Harvard Medical
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the informatics of surface and interface structures, predicting synthesis conditions, properties, and functionalities vital for catalysis, advanced coatings, and thin films. We are particularly looking