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postdocs. You will join a new research program on the role of universities and entrepreneurial ecosystems in building deep tech startups and scaleups. You will work towards building a landmark database on
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Science, Environmental Science, Data Science, or other related fields Strong capabilities and demonstrated experience working with large climate datasets, high performance computing, and machine learning
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 19 days ago
, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the above mentioned fields. What we offer State of the art on-site high performance/GPU compute facilities
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environments (i.e., indoor farming, greenhouse, and high tunnel settings). Our goal is to find sustainable solutions to pest problems in controlled environments. The postdoctoral associate will perform
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The Leibniz Institute of Plant Biochemistry invites applications to fill the position of PostDoc Researcher for Metabolomic and Proteomic Analysis (m/f/d) (Salary group E13 TV-L,working hours 100
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structured and unstructured data, such as text, images, and videos. Additionally, there are individual machines available, each with high-performance GPU cards for enhanced processing capabilities. Various
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career. Used when the appointee performs specific services on a grant or contract in exchange for compensation. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
or high-performance computing environments. - Strong background in statistical modeling and machine learning, especially applied to spatiotemporal data. - Familiarity with urban systems, urban emissions
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advanced computational techniques. Application of strong analytical and critical thinking skills and problem-solving efforts to formulate high-quality research ideas and directions in collaboration with
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possible co-appointment in the Department of Computer Science. The project combines theoretical and experimental approaches to develop renewable DNA computing devices that perform multiple computations in a