375 computer-science-programming-languages-"the"-"U.S"-"O.P" Postdoctoral positions in United States
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Field
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and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator. PREQUALIFICATIONS
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energy-related research challenges in the Greater Permian Basin region. This position will support the State of Texas Advanced Resource Recovery (STARR) program at the Bureau of Economic Geology (BEG
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). The training program is designed to train the next generation of scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial
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, Electrophysiology, Biomedical Engineering, or Computer Science, or a related discipline required. Certifications/Licenses Required Knowledge, Skills, and Abilities Demonstrated competence in investigation, research
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Research Associate/Post-Doctoral Fellow - Institute for Research on the African Diaspora in the Amer
activities related to IRADAC and to the Ph.D. program of his/her own discipline. We welcome applications from disciplines within the humanities and social sciences, including Anthropology, Education, English
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] Subject Areas: Analytical Chemistry / Current Advances in Chemistry & Biochemistry Computational Science and Engineering / Machine Learning Artificial Intelligence, Machine Learning and Autonomy
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The Chemical Sciences and Engineering Division is seeking applicants for a postdoctoral appointee who will conduct computational research in Selective Interface Reactions (e.g., atomic layer
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his PhD degree in Prof. Curtis Berlinguette’s lab at University of British Columbia in Canada in 2018. He then moved to Prof. Erwin Reisner’s lab at the University of Cambridge for postdoc program. In
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interdisciplinary exchange, a growing population science training program, and research support services designed to develop and nurture promising areas of new population research. Affiliates of the MPC benefit from
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the field of quantitative biology or machine learning (broadly defined); strong written and oral communication skills; strong knowledge of Python programming; familiarity with DL frameworks (i.e. TensorFlow