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Responsibilities: Digital Tool Development:Develop digital tools to monitor and analyze the determinants of urban health using sensor data, public databases, and GIS. Predictive Modeling:Design predictive models
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degree, please submit proof of the recognition of your Master's degree and/or PhD Certificate in Germany with your application. The proof can be determined via the anabin database and can be submitted as a
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related to staff position within a Research Infrastructure? No Offer Description About UM6P Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is
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University of California, Los Angeles | Los Angeles, California | United States | about 21 hours ago
, in collaboration with Drs. David Lu and Steven Raman, in the Department of Radiological Sciences. The position requires an PhD and/or an MD degree and demonstrated track record conducting research in
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, UM6P aims to position these fields as the forefront and become a university of international standing. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool
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involves working with commercial fishing scientific data compilation, analysis, modeling, and visualization, and integration of local fishermen’s ecological knowledge, and available socioeconomics scientific
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22 Sep 2025 Job Information Organisation/Company Centro de Estudos Sociais da Universidade de Coimbra Research Field Sociology Researcher Profile First Stage Researcher (R1) Positions Postdoc
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models combining CT imaging and clinical data, trained on the unique RADAR consortium database . These models will be validated in close collaboration with clinical and industrial partners, offering you
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at the University of Sydney, under the guidance of Node Leader Dr Samuel C Boone, AuScope and the School of Geosciences is jointly funding a 4-year Postdoctoral Research Associate position to spearhead the new node’s
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these to campaigns. Additionally, you will lead the development of simple models for cross-shore sediment transport predictions. These models will be based on an extensive experimental database containing historical