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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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control of their production. Tasks of the postdoctoral researcher will include genome-wide analyses of genetic regulatory circuits and large-scale comparative genomics. The Leibniz Institute DSMZ is
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with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design
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on science analysis of the JWST observations of transiting exoplanets. Research duties will involve building data reduction pipelines, reduction of large quantities of data, statistical analysis of the data
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changing-look AGN/tidal disruption event/supernova host galaxy studies. Applicants with an interest in joint survey analysis methods, machine learning applications to survey data, and large-scale survey
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the position and outline skills and experience that directly relate to this position. Additionally, your application must include: A writing sample Contact information for at least three references We will start
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Institute of Particle Astrophysics and Cosmology (BIPAC), on research aimed at extracting cosmological information from large-scale structure (LSS) and Cosmic Microwave Background (CMB) probes on very large
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space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer science, or other relevant fields and strong interest in technical and policy research