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5 Sep 2026 Job Information Organisation/Company CNRS Department Centre de Nanosciences et de Nanotechnologies Research Field Physics Researcher Profile Recognised Researcher (R2) Application
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travel; assisting with the planning and execution of large office events; managing departmental purchasing and catering; and other assistance as needed. This position requires strong interpersonal
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BTH's largest department, with just over 70 employees. The department conducts research in computer science, covering the subfields of big data and AI, parallel computer systems, visual and interactive
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discover how we can advance health together. Duke Health Integrated Practice https://careers.dukehealth.org/us/en/dhip Pursue your passion for caring with Duke Health Integrated Practice, which comprises
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- 4 Additional Information Eligibility criteria - Evolutionary genomics analyses on large NGS datasets -Knowledge on coding (C ,C++, or java), script writing (python, perl), R software and shell Unix
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NaNDA's established curation standards, naming conventions, and documentation architecture. For more information, please see https://nanda.isr.umich.edu/ . Responsibilities* Data Curation & Archive
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, Machine Learning, or related areas. - Knowledge of Large Language Models and Retrieval-Augmented Generation. - Experience or interest in Knowledge Graphs, Semantic Web technologies, information retrieval
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of information security Experience in aquiring third-party funding Experience in managing large research projects Very good programming skills Leadership qualities in the supervion of students Experience in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
. Special Physical/Mental Requirements Campus Security Authority Responsibilities Not Applicable. Special Instructions Quick Link https://unc.peopleadmin.com/postings/325450 Posting Contact Information
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About the lab The Laboratory of Causal Systems Immunology combines large-scale in vivo perturbation experiments, advanced mouse models of immune diseases and causal learning to uncover how genes