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Field
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University is seeking a highly motivated Post Doctoral Research Fellow to join a dynamic, interdisciplinary team working at the intersection of biostatistics, public health, epidemiology, and biomedical
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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal
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-epidemiological methods on human study populations to identify molecular mechanisms that can serve as future targets for early detection, prevention, and treatment. Our lab is at the forefront of Alzheimer’s
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protective factors, co-morbidities and health inequalities. We have an international reputation for cultural, social and environmental epidemiology and trials of complex interventions, including in people with
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immediately until 31st March 2028, with the possibility of extension. The post is part of a Wellcome Trust Collaborative grant ‘Harnessing epidemiological and genomic data for understanding of respiratory virus
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: Monday – Friday, 8 a.m. – 5 p.m. Summary The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences is searching for highly motivated and talented post-doc candidates
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision
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investigating the translational potential of genetic discovery. We have access to extensive biosample collections and use advanced omics technologies and genetic-epidemiological methods on human study populations
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, epidemiology, risk prediction, AI and clinical practice. They will be supported to develop their career and build their own grant or fellowship applications. Please see the attached job packs for further
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Postdoctoral Associate with a strong analytical background to join our research program in systems epidemiology and continuous glucose monitoring (CGM). Our group integrates epidemiologic data with multi-omics