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Generation in Context: Object- and Interaction-Aware Generative AI Models of Language Use”. Preferred start date is 1 February 2026 but is negotiable. Job descriptionFace-to-face conversation is the primary
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improve both imaging quality and treatment precision in rodent models, with the ultimate aim of translating findings into clinical trials. This project has two main objectives: Developing novel hardware and
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aim of translating findings into clinical trials. This project has two main objectives: Developing novel hardware and software technologies for advanced preclinical imaging and irradiation. Refining
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together with an expanding team of 5 PhD candidates and an experienced postdoc. The core objective of this project is to pioneer the conversion of polyolefins into essential chemical building blocks like
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diverse domains—such as manufacturing, rental platforms, and production systems—where decision-making must balance conflicting objectives, leverage real-time data, and ultimately support sustainable
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for plastics using mechanochemistry. You will enter a relatively unexplored field of chemistry together with an expanding team of 5 PhD candidates and an experienced postdoc. The core objective of this project
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from eye-tracking, retrospective think-aloud interviews, translated material, diaries and questionnaires from professional translators and users. The project is hiring a postdoc who will work alongside
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding Tenure Track PhD EngD Working as a UT student
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motivated candidate with a proven track record of developing and utilising numerical models. Familiarity with multi-scale or scale-bridging techniques is a pre. You must have successfully completed a PhD
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are looking for a motivated candidate with a proven track record of developing and utilising numerical models. Familiarity with multi-scale or scale-bridging techniques is a pre. You must have successfully