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prostate cancer risk across diverse ethnic groups. This work aims to support more equitable risk stratification in cancer screening programmes. Using simulations based on multistate modelling framework
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on the use of new Lyapunov-based deep learning methods. Such development includes: ideation, mathematical development, Lyapunov-based analysis, executing simulations and experiments, and disseminating research
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to linked data. The overarching goal will be the integration of routinely collected data (e.g. molecular genomic data with clinical data from electronic health records) to address specific research questions
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Reform. This NSF-funded (#2142873) project investigates the extent to which a change agent can influence reform in chemistry doctoral programs. The postdoc will be involved in designing programming
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researchers, molecular biologists and computational microbiologists. Our work is funded by the Ellison Institute of Technology, Oxford Ltd and the pipelines we develop are deployed in https://www.eit
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your academic profile in a friendly, supportive, and dynamic centre, with the possibility of contributing to scholarly and policy publications, research seminars and transitioning into a PhD and/or
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considered at all faculty ranks. Qualifications Required: Ph.D. in Plant Biology, Physiology, Molecular Biology, Biotechnology or other related discipline. Familiarity with plant biotechnology, physiology
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faculty members and their students perform experiments at the School of Dentistry. The candidate for this Lab Manager position will perform detailed molecular biology experiments as well as train and mentor
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Your Benefits Offer: We offer the opportunity to work on a cutting-edge project with access to a unique population dataset within a dynamic and supportive research environment. Join us in shaping the
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of immunology and molecular biology preferred. Candidates should have excellent scientific writing and strong oral communications skills Experience in leading research papers for publication and data