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media data using platform APIs and/or web scraping analyse large-scale data using appropriate digital methods (flexible, but please specify) present research at national and/or international events lead
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science, mathematical modelling, data science, transport behaviour, or related fields? Then this PhD position might be the right for you. Ensuring sustainable mobility in dense urban areas is a big challenge faced by
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screening, X-ray crystallography, and computational tools, while connecting to the large regional infrastructure MAX IV. Frag2Drug will serve as a hub for early drug discovery, fostering innovation, training
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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. The position The successful candidate is expected to work closely with the LoCiS PI, Professor Rubina Raja, on a number of tasks, including: Supporting large research/publication projects (including copyediting
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profile thatincludes geospatial applications and large-scale data integration and analysis. Has shownsuccessful track-record in securingthird party research funds. TeachingResponsibilities As an Associate
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Foundation RECRUIT grant ("Data Management, Algorithms, & Machine Learning for Emerging Problems in Large Networks – with Interdisciplinary Applications in Life & Health Sciences". NNF22OC0072415
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Extensive experience with standard laboratory practise including handling of GMO Experience with handling large sample sets and data sets in an organized manner Experience with collaborations with external
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Experience with writing scientific publications Experience in working with contaminants like PFAS, PCBs and mercury, fatty acids, stable isotopes and modelling in R A talent for working with large data sets
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28 Oct 2025 Job Information Organisation/Company University of Southern Denmark Department Department of Business and Sustainability Research Field Sociology Researcher Profile First Stage