1,049 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" positions at Nature Careers
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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The University of Rochester invites applications for a senior tenured faculty position in the field of High Energy Density (HED) science. The successful candidate will be a distinguished scholar
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immunotherapy development. Candidates should also explore innovative approaches such as integrating high-throughput data, single-cell immune profiling, digital health platforms, and advanced computational
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Job Description SJCRH The St. Jude Affiliate Program is seeking a faculty member to serve as the program rotating physician. The St. Jude Affiliate Program is a network of clinics, hospitals, and
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advance humanity To answer big, important questions with next-gen intelligence and bold innovations CAREER OPPORTUNITIES The Xuemin Investigator Program invites applications for the faculty position. We
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The German Cancer Research Center (DKFZ) is one of Europe’s largest cancer research centers. “Research for a life without cancer" is the mission of our world-class scientists and all our team
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2,900 work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate
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Job Description St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in the Childhood Hematological Malignancies Training Program. This prestigious, NIH-sponsored T32
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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. The successful candidate will be employed at the Department of Computer Science of the University of Luxembourg and have access to high-performance computing resources suitable for large-scale machine-learning and