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pipeline for predicting human pathogenicity based on bacterial genomes, something that has recently been expanded using more novel AI-techniques. There is, however, a need to further expand this to also
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on the design and synthesis of novel antibacterial agents. The successful candidate will join an interdisciplinary team working to combat multi-resistant infections through innovative chemical strategies
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the challenges of the construction sector and society in relation to the green transition. AM2PM - Additive to Predictive Construction using Learning by Printing and Networked Robots This Postdoc will have an
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- and project-based focus, and continued education and knowledge dissemination. Your work tasks The work is shared between two projects. One project is across the North Sea region, addressing safety
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-based focus, and continued education and knowledge dissemination. Your work tasks The work is shared between two projects. One project is across the North Sea region, addressing safety-critical water
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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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background in individual- /agent-based modelling Experience with modelling of animal energetics Strong R and Netlogo skills Good understanding of movement & population ecology Experience in publishing
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19165 Post-Doctoral Fellowship in risk assessment and prioritization and remediation of dumped mu...
involved in case study work with stakeholders and assessment of risks based on collected data from the project activities from field measurements in munition dump sites in the Baltic Sea. The candidate will
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involved in case study work with stakeholders and assessment of risks based on collected data from the project activities from field measurements in munition dump sites in the Baltic Sea. The candidate will