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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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Dannberg. Your duties The PhD students will apply and further develop advanced analytical techniques to determine combined major, trace and volatile element and isotope data on mineral and melt inclusion by
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main responsibilities will be shared between two main research activities (approximately 70%-30%): Large-Scale Survey Development & Data Analysis for Ex-Post Assessment: Develop and deploy a structured
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medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will
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contributing both fundamental methodological advances and practical decision-support tools. Research environment The PhD position is part of the Norwegian Centre on AI for Decisions (aiD), https://aid-centre.no
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inequality, using Dutch register data, quasi-experimental designs, and simulation methods. Your job The PhD project will be carried out at the Department of Sociology of Utrecht University and consists
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quantitative skills (programming and data analysis, data management, experience with the analysis of large datasets) Very good English writing and communication skills A valid driver’s license (European Cat. B
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Website https://www.academictransfer.com/en/jobs/362524/phd-position-in-game-theory-for… Requirements Specific Requirements You are a highly-motivated, creative, and curious researcher with: A Master’s
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sustainability, working at the interface of environmental systems science, marine technology, and data-driven research within an international and collaborative research environment. The PhD candidate will join
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dispersal networks across Europe. The successful candidate will combine large-scale ecological datasets and species trait data, and use quantitative analyses to investigate how novelty of ecological networks