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projects typically move into influential roles in data-driven engineering, infrastructure resilience, environmental risk analysis, or directly into Network Rail’s technical and analytical teams. Because
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Actions (MSCA) Doctoral Networks (Grant agreement ID: 101226371). Why join us ? · Pillar of Excellence: A High-Level MSCA Joint Doctorate The "IoRT Data management and analysis for Sustainable Agriculture
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 1 day ago
analysis. The goal of this thesis is to advance causal AI for wireless networks by developing statistically reliable causal inference tools grounded in recent advances in simulation-aided inference and model
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Initial in vitro characterization of radioligands and assistance with further preclinical in vitro and in vivo experiments Analysis of experimental data and communication of results in work reports and
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coordination of the work within the network. Conceptualization and implementation of information exchange and documentation formats within the network. Analysis of needs, challenges and upcoming expectations
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Infrastructure? No Offer Description Grantor: European Union HORIZON Marie Sklodowska-Curie Action (MSCA) Joint Doctoral Network Project portal: https://www.eu4greenfielddata.eu/ Highlights Duration: 1 Sep, 2026
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15 Jan 2026 Job Information Organisation/Company Łukasiewicz Research Network - Industrial Chemistry Institute Department Pharmaceutical, Cosmetic Chemistry and Biotechnology Research Group Research
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network performance data obtained from user devices. Assist in the development of basic models to predict or explain network behaviour under different conditions. Contribute to the improvement of internal
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Łukasiewicz Research Network - Industrial Chemistry InstituteInstytut Chemii Przemysłowej im. prof. Ignacego Mościckiego | Poland | 9 days ago
15 Jan 2026 Job Information Organisation/Company Łukasiewicz Research Network - Industrial Chemistry InstituteInstytut Chemii Przemysłowej im. prof. Ignacego Mościckiego Department Pharmaceutical
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network performance data obtained from user devices. Assist in the development of basic models to predict or explain network behaviour under different conditions. Contribute to the improvement of internal