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- how do we efficiently identify these growing black holes and measure their properties? This project will focus on that key question, with students learning how to mine the vast new data resource that is
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, biodiversity monitoring, and climate resilience. The work supports strategic priorities in Environmental Sciences, Software/Cyber. PhD researchers will explore how AI-driven Earth observation, computer vision
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$43,805-70,075/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies
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9 Jan 2026 Job Information Organisation/Company IMT Mines Ales Department Human Ressources Department Research Field Engineering » Systems engineering Researcher Profile First Stage Researcher (R1
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research spanning theoretical foundations, bioinformatics, machine learning, robotics, data mining, and applications of Computer Science. Together, the programs prepare students for graduate study in
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 2 days ago
. For further information about pursuing a PhD or doctorate at BTU, please refer to the website of the BTU Research Department . Brandenburg University of Technology Cottbus-Senftenberg The BTU welcomes you to
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14 Jan 2026 Job Information Organisation/Company IMT MINES ALES Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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19 Jan 2026 Job Information Organisation/Company Ecole des Mines de Saint-Étienne Research Field Biological sciences » Biological engineering Engineering » Electronic engineering Engineering
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@gfz-potsdam.de Website https://gfz.concludis.de/prj/shw/9ff2d68a234ace2643d46c35b9002ab3_0/11046/Wisse… Requirements Additional Information Website for additional job details https://gfz.concludis.de
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University of Angers. More information here: https://www.univ-angers.fr/en/research/funding-and-projects/cap-europe/… Keywords: Computer Science – Semantic Web – Ontologies - Data mining - Data Integration