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physical laws, or an implicit form of extra data examples collected from physical simulations or their ML surrogates. In medical domains, patient data is typically distributed across multiple hospitals
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publications Desirable Familiarity with containerisation (e.g., Docker or Singularity) of informatic pipelines/workflows Experience in multiple omics methodologies Understanding of the application of statistical
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causal component of Alzheimer’s Disease (AD). Brain immune response is associated with the accumulation of both tau and amyloid proteins and is implicated in neuropathogenesis and multiple chronic
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necessary or desired background A first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. Subject Area Medical imaging, computer science & IT, AI
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students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium through AI-driven microstructural analysis. The NEST-WISE project offers a vibrant collaborative
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consortium of over fifty scientists from different disciplines, universities and medical centres. The scientists will apply innovative techniques to investigate which factors of the exposome are important for
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collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
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neuroimaging techniques. You will conduct both neuroimaging and neural network modelling studies to determine whether and how combining information across multiple sensory modalities (vision and touch) may
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes