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About the Opportunity Job Summary: The Lopez Group at Northeastern University is seeking a postdoctoral researcher with experience in machine learning and organic chemistry to join a collaborative
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and growing community. Learn more here: https://research.duke.edu/prospective-postdocs/. Screening of Applications Screening continues until position is filled. Job Code: 00003820 POSTDOCTORAL ASSOCIATE
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LanguagesDUTCHLevelBasic Research FieldTechnology » Computer technologyYears of Research Experience4 - 10 Additional Information Benefits We offer full-time employment for a Postdoctoral Researcher (salary scale 44
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of 3D data / point clouds. Knowledge of libraries or tools such as PCL, Open3D, PDAL, and CloudCompare, as wellas machine learning/deep learning methods applied to 3D data, will be considered an asset
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, prepare a career plan that specifies the skills the postdoctoral researcher is to acquire. Competence goals shall be set both for the postdoctoral project and for any other career‑advancing work included in
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performance utilizing a variety of tools including life-cycle assessment (LCA), machine learning techniques, and/or optimization methods. This position will carry out state of the art research into the economic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
-processing and machine-learning algorithms that account for skin pigmentation, low perfusion, and motion. Work with UNC clinical collaborators on IRB-approved human-subjects validation studies, including
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Postdoctoral Research Fellow position. We are looking for a motivated candidate with expertise in DA, machine learning, and geophysics to develop the hybrid AI-physics version of NorCPM for long coupled
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this, the postdoctoral researcher will combine machine learning, molecular dynamics simulations and high performance computing (Isambard AI). Applicants must have a PhD in an appropriate area of computational chemistry or
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. This postdoctoral fellowship in the Arlotta lab involves computational analysis of large, multimodal single-cell datasets, as part of a collaborative project which also aims to generate AI and machine learning models