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staff position within a Research Infrastructure? No Offer Description Reference number ORU 2.1.1-07580/2025 We are looking for a postdoctoral researcher in Embodied Learning for Underwater Robotics for a
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structural mechanics research. Train and assist students and postdoctoral scholars in the safe operation of this equipment and document operating procedures when necessary. Learn from engineering sketches
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
Lab at UNC-Chapel Hill is seeking a highly motivated Postdoctoral Research Fellow to join our group at the intersection of statistical methodology, machine learning, and biomedical data science. Our
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for documented circumstances such as parental leave, sick leave, or military service. What you will do As a postdoctoral researcher, you will Establish a DORIS data processing and analysis center using the CNES
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agricultural science with a quantitative focus (or an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and
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the Isthmus. The Postdoctoral Researcher will also have an opportunity to learn about genomic approaches and the study of fossil pollen, as well as do outreach through the Smithsonian Tropical Research
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 2 months ago
disseminate the developed methods. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09574 Requirements Skills/Qualifications PhD in Computer Science, Machine Learning, Bioinformatics
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, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical
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Postdoctoral Research Assistant in Single-Cell Imaging of Antibiotic Resistance We are seeking a Postdoctoral Research Assistant for the Gene Machines’ group, led by Prof Achilles Kapanidis
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understanding of activity, role and purpose of thinking in an age of machine learning, cognitive and neural engineering and enhancement. Approaches that emphasize diverse forms of thought (animal cognition