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and to develop accurate cancer risk prediction models. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data
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broader mixed-methods evaluation framework • Support capacity-building efforts for local field teams and partners in evaluation design and data collection Requirements • Master’s degree or PhD in Public
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applies the principle of public access to information when recruiting staff for academic positions. Information about applicants may be made public even if the applicant has asked not to be named
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timely and quality deliverables. Co-supervision of MSc and Final Year Project students involved in this project. Job Requirements: Bachelor/Master/PhD in Electrical and Electronic Engineering/Computer
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of the University of Cincinnati. Required Education MD, PhD, or MD/PhD in neuroscience or a related field (Bioinformatics, genetics, etc.) Additional Qualifications Considered Experience with rodent models and
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, focusing on applications within the healthcare, education, and environment sectors. Designs generative AI techniques and algorithms for data integration and computational models, with objectives to amplify
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related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
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, demonstrating collaborative citizenship, and building external partnerships with industry, government, and community stakeholders. This is a research focused position. Further information can be found by viewing
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development and regeneration. Our research combines in vivo genetic models, in vitro organoid systems, advanced imaging, and high-dimensional sequencing approaches to uncover fundamental principles by which