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are increasingly using self -funded services via pharmacies, getting both medicines and health advice to treat common infections without seeing a doctor. The vast “smart data” that these interactions are producing
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for downstream tasks. In this project, you will develop novel unsupervised machine learning methods to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a
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conception of progressive voices in Islamic theology (preferably with a focus on Islamic liberation theology approaches) formed in response to the main challenges of living in (post-)secular, (post
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offer A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you
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Degree PhD in Translational Biomedicine MD/PhD in Translational Biomedicine Dr rer nat Course location Mainz Teaching language English Languages Courses are held in English. The thesis should be
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combination of different methods such as population genetics, analyses of fungal environmental DNA and soil spore banks in soil to find out about the life histories of ectomycorrhizal fungi in general, and
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phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
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literature relating to injury risk mitigation in relation to full-time women’s football. The candidate will also develop a multifactorial approach to monitoring responses to training and match-demands of full
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architectures [5] and Neural ODEs [2], creating a cohesive end-to-end hydrological model. Transformers will be utilized to pre-process and analyse the raw input data, capturing essential spatial and temporal
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for the Fraunhofer-Bessel Research Award. As soon as we receive all the necessary documents, we will confirm receipt of the nomination by e-mail and initiate the review process. All information will of course be