66 high-performance-quantum-computing "https:" "Simons Foundation" Postdoctoral positions at Cornell University
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generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides opportunities to collaborate with leading AI companies, such as Anthropic and
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York 14853, United States of America [map ] Subject Areas: Genomics / Plant Computational Biology Bioinformatics Genetics / Quantitative Appl Deadline: none Position Description: Apply Position
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Humanities Scholars Program Postdoctoral Associates Call for Applications: Humanities Scholars Program Postdoctoral Associates Open to Cornell PhD Candidates and Recent Cornell PhDs Eligible
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in bioinformatics/multi-omics data. Excellent written and oral communication skills. Preferred Qualifications: Experience with cloud computing and high-performance clusters (HPC). Experience with
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generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides opportunities to collaborate with leading AI companies, such as Anthropic and
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. in Systems Engineering, Industrial Engineering, Operations Research, Computer Science, Biomedical Informatics, Health Information Technology, or a related field Evidence of high-quality research
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developing this program. We are also particularly interested in strengthening the group working the CMS Track Trigger or Forward Pixel Detector for the HL-LHC upgrades. A PhD in experimental high energy
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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applications for a Postdoctoral Research Associate in Transportation Systems Modeling, Computing, and Cloud-Based Mobility Analytics Platforms as part of the CTECH Postdoctoral Fellows Program. This position
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collaboration with Northwestern University. The project is titled "Advancing the Study of Social Isolation, Loneliness, and Cognitive Functioning in Older Adults Through the Use of Integrative Data Analysis.” As