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move into and out of the brain. In various forms of dementia, disease processes affecting the cerebral vascular bed play an important role. Reduced blood flow, leakage of the blood-brain barrier and the
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machine-learning approaches. Established markers such as neurofilament light chain (NfL) and GFAP will provide a biological reference point for identifying disease-specific biomarkers. A central part of the
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modeling, geometric deep learning or physics-informed machine learning, or you are willing to learn these quickly; strong collaboration skills: you enjoy working in a multidisciplinary team and feel
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questions. The candidate should be organized, curious, analytically rigorous and comfortable learning unfamiliar methods. Good written and spoken English is essential. Research motivation: a clear interest in
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metabolomics, lipidomics, proteomics and genomics, and combine these data using statistical and machine-learning approaches. Established markers such as neurofilament light chain (NfL) and GFAP will provide a
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a year-end bonus of 8.3% of the gross annual salary. 100% reimbursement for public transport travel costs. If you travel by foot, bicycle, or car, a mileage allowance of €0.21 per km applies (up to a
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system consists of channels surrounding the blood vessels. Through these channels, substances move into and out of the brain. In various forms of dementia, disease processes affecting the cerebral vascular
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evaluation of pharmacological therapies under the supervision of Dr Rogier Min. At the National Research Council of Italy (CNR) in Cagliari, you will learn computational chemistry approaches to identify drug
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analysis equipment and software and learn how ideas emerging from academic research can be developed towards commercial application. You will also undertake a secondment at the University of Liverpool’s
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symptoms develop. Ultimately, the consortium seeks to enable timely lifestyle interventions that help prevent chronic disease rather than treat it. As a PhD candidate, you will become part of a