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Course location Bamberg Description/content There are generally two different ways to pursue doctoral studies at the University of Bamberg: structured doctoral programmes and individual doctoral
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ecosystems, threatening public health, food security, livelihoods and the achievement of key sustainable development goals. In Norway, these emerging contaminants are impacting freshwater and marine ecosystems
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, Asian and European regions that have produced such artefacts. They are studied in an interdisciplinary setting of a broad range of subjects in the humanities, the natural sciences, and computer science
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the aforementioned areas, related to digitalisation, health-technology, information security, sustainability, environment etc. The academic environment and research groups connected to the programme, and the course
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predictive maintenance. Gas turbine diagnostics and prognostics has been progressed quickly in recent years and are crucial technologies to predict the health of gas turbine systems and support the predictive
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model's performance across different patient groups, including varying ages and comorbidity profiles. (b)Gather feedback from clinicians to refine and improve the model's utility in clinical practice
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understanding of the phenotypic properties of bacteria upon exposure to different treatments and how to exploit these for diagnostics. Outcomes of this project will contribute to reducing antibiotic misuse and to
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 14 hours ago
of Global Change and Transformation Processes, Energy Transition and Decarbonisation as well as Health and Life Sciences. The programme is affiliated to the Faculty of Environment and Natural Sciences
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positions are listed throughout the year, with different application dates. You must have completed a master's degree of 120 ECTS in social sciences, the humanities, and/or fields relevant
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | 1 day ago
interdisciplinary, which is reflected by the fact that PhD students have an academic background in (molecular) biology, (bio-)chemistry, (bio-)physics, mathematics, computational biology, computer science