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NSF-EPSRC project “DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks”. The research will involve collaboration with
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to: to develop and evaluate one pilot programme with our partners Two Lives London and their supply chain partners produce a set of case studies that would enable the Centre to identify & specify a full
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Apply now Job no:535376 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Computer and Information Science, Data Science Department: CAS CIS Computer & Information
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research data; keep a detailed notebook summarizing experiments and recording research data; maintain computer database of research data; tabulate and display data for presentation in research conferences
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 11 hours ago
or currently pursuing. Discipline(s): Business (11 ) Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Pharmacology T32 Postdoctoral Training Program Vacancy ID PDS004510 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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was developed from the research of the Textiles Circularity Centre into circular design strategies including: The overarching objectives will be to: (1) to develop and evaluate one pilot programme with our
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Minerals and Energy Innovation (CMEI) Science, Technology, and Policy Program (STP) Fellowship offers an opportunity for highly talented scientists, engineers, and technical professionals to participate in
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer