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37.5h/week Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Advanced
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Une caractérisation fine de la composition des plasmas
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Mar 2026 - 17:00 (Europe/London) Country Ireland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference
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theory specifically. In the next few years, we are planning to hire one or two additional model theorists, and begin to set up a joint program in model theory bridging the philosophy and mathematics
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into their models; or 2.Computational social scientists with experience in empirical research and/or theoretical modeling, who are motivated to incorporate their methods into energy modeling. All applicants must
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research conducted in our laboratory focuses on how morphogens
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description La sclérodermie systémique (ScS) est une maladie autoimmune caractérisée par
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econometric modeling, scientific-oriented thinking, communication and team skills, with a PhD in the field of economics, (business) mathematics, (business) informatics, marketing, management. As a member of the
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intelligence models for the analysis of multispectral remote sensing imagery. The main tasks include implementing computer vision and machine learning methods for the detection and prediction of algal blooms in