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exciting research program within the Foy Lab ( www.foylab.xyz/ ) https://foylab.xyz/ , developing machine learning, computational, and mathematical models for improving how clinical blood tests are used
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areas: Blue/Green Infrastructure: restoring, managing and protecting nature-based assets in urban and rural environments Sustainable Materials and Resources: developing materials and technologies
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localities and will use that data in geochemical and geophysical numerical modelling. The team will work on three main tasks: Improve the accuracy of plume source composition Quantify changes with tectonic
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Geological Survey of Denmark and Greenland (GEUS) | Copenhagen, New York | United States | about 1 month ago
Quaternary geology with regional 3D geological modelling and help connect Denmark’s onshore and offshore subsurface? Are you motivated by using geological knowledge to address some of the major challenges
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) You will work within the newly established Computational Materials Science group of Assistant Professor Waldemar Kaiser, part of the Theory & Modelling unit (led by Prof. Igor Zozoulenko). Our
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Tenure Track Assistant Professor in Experimental Planetary Materials Science Faculty of Health and Medical Sciences University of Copenhagen Globe Institute The University of Copenhagen seeks to
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successful candidate will work on can be found on the SPRING project website https://spring-project.eu/doctoral-projects (position reference DC 12). SPRING DN is implemented by an international consortium
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observation systems, and integrated analysis and modelling approaches. The position focuses on holistic catchment-scale studies and the development of scalable methods for monitoring the state, changes
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Tuomi), AI professor Teemu Roos from University of Helsinki, and international partners such as Leibniz Institute for Astrophysics Potsdam (AIP). Your role and goals You will focus on modelling and
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Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 1 month ago
, Materials Science, Computational Physics, Chemistry, or a closely related field. You have hands-on experience with atomistic modelling (DFT, second-principles, machine-learned force fields), scripting