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using available software packages (i.e., IMARIS, FIJI/ImageJ). Presentation of data in Adobe Illustrator for publication purposes. Maintain experimental record keeping of projects. Develop experimental
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We seek candidates with the potential to contribute to the development of human geography as a discipline at the department. The fellow is expected to pursue independent research, as outlined in
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access to care for mental health and pre clinical cognitive problems and address social determinants of health such as social isolation and loneliness. Familiarity with and developing a track record of
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integrative data synthesis and advanced analytics to accelerate the development and implementation of evidence-based strategies that prevent and manage chronic illness and improve health outcomes across
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–dielectric–metal resonator platforms. The project develops hyperuniform disordered metasurfaces, a novel class of photonic structures in which structural correlations are precisely controlled to achieve
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social sciences, enabling them to develop strong, independent research portfolios while contributing to the College's research, teaching, and intellectual life. Key Responsibilities: Fellows will be
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Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students
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Matt Keeling and Professor Mike Tildesley as part of the Zeeman (SBIDER) institute. The work is funded by DEFRA as part of an EEID (Ecology and Evolution of Infectious Diseases) collaboration between
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Foundation, explores how pathogenic bacteria survive and cause infection. Working at the interface of genetics, chemical biology and machine learning, the team develops small molecules to disrupt key bacterial
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is to define how inherited variation influences gene regulation, tumor evolution, and clinical cancer phenotypes towards the ultimate goal of earlier cancer detection and improved prevention strategies