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industrial practice relies heavily on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete
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for developing new treatments against drug-resistant infections. Their rapid action and ability to target bacteria in several ways make it difficult for antimicrobial resistance to emerge. Despite this promise
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-pharmacological antifungal therapies. Approach and Methods: Develop and optimise laboratory models of fungal growth and resistance. Investigate how environmental stress factors (e.g. osmotic and nutrient stress
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in Austria. We are seeking a PhD candidate on predicting adherence to digital health-promoting interventions with Artificial Intelligence (AI) and machine learning (ML) techniques. You will develop AI
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networks. This project aims to develop a strategic planning framework that supports the efficient, low‐carbon, and resilient integration of AI data centres into evolving energy systems. The overarching
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available in the further tabs (e.g. “Application requirements”). Programme Description The DBU scholarship programme for PhD students aims to support young academics in the field of applied environmental
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Postdocs, assistant professors, junior research group leaders Vocational training at the University of Tübingen International researchers Excellent research conditions Values Career development Benefits
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supergiant stars right before the explosion Searching different astrophysical channels that produce r-process elements Connecting the properties of long-duration gamma-ray bursts and associated supernovae web
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Bård Halvorsen 9th January 2026 Languages English English English We are currently seeking motivated PhD candidates to develop and pursue research projects within the scope of our PhD programme
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diagnostics, empirical antibiotic use is common, exacerbating resistance. This project aims to develop a next-generation lateral flow assay (LFA) platform for rapid, ultrasensitive detection of RTI pathogens