1,621 computational-physics "https:" "https:" "https:" "https:" "Caltech" positions at Nature Careers
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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Education and/or Training: Bachelor's degree in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, computer engineering) required. Master's degree preferred
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Program. Our Nurse Residency Program is an intensive, integrative, and collaborative approach to preparing new graduate nurses to lead in the advancement of nursing care for children, adolescents, and young
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280 international programs of different types. The University has currently established four world-classdisciplinary groups: computer data science, materials chemistry, biomedical science, and economics
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
clinical application. The focus is particularly on photon-counting computed tomography (PCCT), 4D MRI flow imaging, and AI-supported analysis and modeling methods (e.g., CT-FFR, predictive software models
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We are seeking a highly motivated and skilled Postdoctoral Fellow to lead this innovative research program at the interface of proteostasis and transplantation biology. The successful candidate will
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on ancient microbial genomes, pathogens, or microbiomes. Candidates should be familiar with both wet lab and computational approaches and demonstrate a commitment to conducting research within ethical
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Job Description Collaborates with new and existing program partners to support research initiatives, including the collection, analysis, and interpretation of primary and secondary data to address
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of this project, you will have developed deep networks in both the quantum and healthcare industries to ideally position yourself for the transition to your next role. The Quantum Program Manager position offers
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types