1,712 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"L2CM"-"L2CM" Postdoctoral positions
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Postdoctoral Scholar Department: Medicine | IM
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approaches. Design and execute experiments, analyze data, and communicate findings at internal and external meetings and conferences. Publish research findings in high-impact, peer-reviewed scientific journals
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scalability studies to identify and improve bottlenecks in large codes. Experience in development of data-driven reduced-order models in one or more of these areas: turbulence, boundary layer flows, combustion
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Communications and 1 from Physical Review Letters. Some of our works are highlighted by globally prestigious journals including Nature. More information is found here . This will be a great opportunity to join the
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perturbation prediction, including the design and implementation of novel training strategies under experimental constraints, e.g., active learning and other data-efficient approachesConduct large-scale
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optimization. Your future tasks Participation in research, teaching and administration in the field of Computer Science in Sport / Data Analytics in Sport. This involves: Developing and strengthening
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. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be
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data and contribute to scientific publications Requirements: PhD in Plasma Science, Chemical Engineering, or related fields Candidate Profile PhD in Plasma Physics, Applied Physics, Chemical Engineering
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) outlining a research project addressing the history of Danish botany and the Flora Danica volumes in the period 1840–1900 within the statement of future research plans and information about research
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: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The postdoctoral associate will focus on data collection and management of clinical projects on aortic disease research. The ideal candidate