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3rd August 2026 Languages English English English We are looking for a PhD Candidate in Measuring Uncertainty and Risk with Agentic AI for Decision-Oriented Modelling Apply for this job See
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of Future Work and Life. **English version below Wir suchen für unser Team ab sofort, in Vollzeit, zunächst befristet für 2 Jahre, eine/n Post Doc (m/w/d) oder Wissenschaftliche/n Mitarbeiter/in (m/w/d) zum
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of this PhD programme is to examine risk factors of suffering an ankle sprain and/or recovering poorly from the injury. This is important as ankle sprains are a common injury (in both the general population and
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the development of near-real time 3D hazard monitoring for critical infrastructure, extending to pre-collapse alerts, thus reducing the risk of catastrophic events. This research scholarship is specifically
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description As part of the...
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on the candidate’s skills and interests, but may include genetically engineering microbes to change form and function, developing theory and AI methods that advance our ability to design reliable, engineered
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should see specific PhD adverts for each projects specific criteria (see below for links to PhD projects). Applicants should have, or expect to obtain, a first or upper second-class honours degree in a
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how AI is changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across
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work with academic, public- and private-sector partners. The project will combine field experiments and forest health surveys with disease and damage assessment, fungal isolation and culturing, molecular
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research will primarily be based on farms and at field experimental sites in both northern and southern Sweden. The doctoral student will work with established and new experiments investigating forage