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Field
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with collaborative research methods, contributing to the lab’s graph-based notetaking and knowledge base. • Explore innovative research dissemination methods, including micropublishing, iterative
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Description Join us in seeking exciting new developments using graph theory in nearest neighbor models for active matter! Do you enjoy working with graph theory, and seeing how functions on graphs can inform
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a particular topic mentioned above. Applicants should meet the following qualifi cations and possess relevant expertise: A PhD in Computer Science or a closely related field, with specialization in
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interdisciplinary research and training program. The objective of the open PhD position is to advance current over-the-air-computing (AirComp) approaches for federated and graph-based Embedded AI to account for
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(ICPSR). Support faculty with the import, organization, formatting, cleaning, and coding of data. Consult faculty on the selection and application of analytical methods (such as graphing and tabulating
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and
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science and industry. With the Open Research Knowledge Graph (ORKG ), we are working to revolutionise the exchange and use of scientific knowledge in the digital age. The Technische Informationsbibliothek
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research environment. Where to apply E-mail sec.epidemio.htd@aphp.fr Requirements Research FieldMedical sciences » EpidemiologyEducation LevelPhD or equivalent Skills/Qualifications Education level : PhD
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and are looking for a Postdoctoral Research Associate AI-Driven Sensing and Control for Megaproject Systems who has: a PhD or near-completed PhD in one of the following fields (or closely related
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, molecular biology, and animal work. The expected salary for this position is $68,932 per year. Required scientific background: A PhD degree in life sciences (e.g. biochemistry, cell biology, immunology