2,105 computer-algorithm-"The-University-of-Edinburgh" Postdoctoral positions in United States
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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The Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications
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answering the questionnaire you may attach the documents. Qualifications Required Education Ph.D. in electrical and computer engineering, computational sciences, computer science, informatics, or related
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meetings, seminars, and workshops hosted by KSOM. The enriched career development program will help early investigators develop essential skills for an independent research career, including grant and
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candidate will possess excellent research, communication, organizational and leadership skills, including detailed recordkeeping, computer literacy, scientific writing and the ability to contribute to method
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generated from coastal diatom bloom. Utilize high-performance computing to process raw transcript data, conduct functional and taxonomic identification of contigs and perform statistical hypothesis testing
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Job Description Applications are invited for a full-time Postdoctoral Associate position within the Bradley Department of Electrical and Computer Engineering, Wireless @ Virginia Tech, College
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programming, interfacing hardware, and developing machine-learning methods highly desirable. The researcher will join an Argonne funded project with interdisciplinary team of material scientists, computer
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opportunity will remain open until a qualified candidate is selected. Description The DOE Scholars Program is designed to attract talented undergraduate and graduate students, and recent graduates to research
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through Space and Time: Enabling the Quantum Dynamics of Chirality-Induced Spin Selection Through Novel and Scalable Computational Methods. The project involves close collaborations with teams at University