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Degree PhD or (if applicable) Dr rer nat Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter
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scintillators to X-rays and gamma rays using radioisotopes and X-ray generators. The student will be registered on the Physics PhD program; however, the nature of this research project is highly multi
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neuroinflammation. The PhD student will focus on characterizing immune cell responses in food allergy models and their impact on brain immunity. In close collaboration with experts in food allergy, neuroimmunology
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influences that define and shape their early careers and practice, including the impact of different learning and professional development phases. Further information on the study is available at the TPJ
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Max Planck Institute of Immunobiology and Epigenetics • | Freiburg im Breisgau, Baden W rttemberg | Germany | 1 day ago
typically there are English equivalents as well. The institute itself is very international, and English is the everyday working language. Programme duration 8 semesters Beginning Winter semester Application
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adaptable program design principles that assist providers to intentionally address holistic outcomes across physical, psychological, social, and cognitive domains. Finally, the project will pilot and evaluate
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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), Cecilia Heyes (Oxford) and Phil Corlett (Yale). In this PhD studentship, you will lead on experimental and computational work looking at how social interaction biases feelings of confidence, and how
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What you'll receive The CSIRO Industry PhD Program (iPhD) aims to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia
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from dairy housing environments, linking acoustic patterns to behavioural and health indicators, and developing computational models capable of detecting meaningful welfare-related signals. The project