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-and-palaeo-environments https://www.instagram.com/palaeo_ugent/ YOUR TASKS Applications are invited for a fully funded four-year PhD researcher position at the interface between (bio)stratigraphy
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Green Industrial Futures (CDT-GIF). We are offering pioneering research projects that will enable PhD researchers to explore key technologies and solutions that will support UK industry to reach net zero
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 21 hours ago
PhD PROGRAM DIRECTOR The School of Nursing at UT Health San Antonio invites PhD (Doctor of Philosophy) in Nursing or related field to apply for a full-time research position as Associate Professor
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participate in research on photodetachment of negative ions. In fulfilment of the MSCA rules, the PhD student has obligation to work exclusively for the PANIONS doctoral network for the 36 months supported
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to complete/correct incomplete applications. The University is not liable if the portal is overcharged, due to the net or to the software itself. Website for additional job details https://www.unibz.it/en
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for additional job details https://www.unibz.it/en/faculties/engineering/phd-advanced-systems-engineering/ Work Location(s) Number of offers available8Company/InstituteLibera Università di
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of the Telecoms and Networks division of the Signals and Systems Laboratory (L2S). The L2S (Signals and Systems Laboratory UMR 8506) is a joint research unit of the CNRS, CentraleSupélec, and Université Paris
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Description We invite applications for a fully funded PhD position within the DFG Priority Programme SPP2389. https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389?set_language=en
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environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information
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recent introductions of exotic species into France via migratory birds highlight the risk of pathogen emergence and the restructuring of infectious networks. This PhD project aims to characterize