127 web-developer "https:" "https:" "https:" positions at University of Southern Denmark
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. These other collections might also be relevant to the postdoc project, if supplementary cases fits in. The center has currently four PhD-projects and one Postdoc. More information on https://www.sdu.dk/da
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of geopolitical power, providing perspectives on present-day geopolitics. Job description The postdoc will develop an agricultural model for Italy and the eastern Mediterranean between the 4th and 1st centuries
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on developing leadership and collaboration skills, preparing participants to take on significant roles in research and innovation within climate-related sectors. Applications Process How does it work? You have an
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strategy (PMIDs: 29123070, 33621493, 33087936, 30566856, 39947938; doi: https://doi.org/10.1101/2025.03.15.641049 ). Postdoctoral Projects Project 1: Replisome Dynamics, Replication Stress, and Cancer
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. We are approx. 60 employees and are located in Odense. We are happy to move beyond traditional disciplines and work to develop new technologies and sciences across fields. The unit’s research
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Research associate (ATAP) in Mass Spectrometry and Protein Research - University of Southern Denmark
supporting our mass spectrometry and proteomics research in the context of the national PLATO research infrastructure (https://www.sdu.dk/en/forskning/plato ). This research scientist position is an exciting
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researcher for a two-year position within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). By leveraging agentic Large Language Models (LLMs), the project will develop
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development and application of models and analyses based on complex, heterogeneous datasets, and may use big data approaches, geospatial information, and spatial or spatiotemporal perspectives when relevant
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project is part of our current activities on developing new antibiotics based on pleuromutilins. The goal of this project is to identify a hit compound specifically targeting multi-resistant Gram-negative
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thereafter. The PhD project will focus on developing and testing AI-assisted computational workflows for predictions of both ground- and excited-state material properties, with applications spanning