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data platforms and conduct interdisciplinary research at the intersection of data science, machine learning and various fields within the Faculty of Science, such as biology, chemistry and physics
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of ecology, remote sensing, environmental sciences, data science, mathematics or statistics with excellent English language skills. The aim of RESILIENCE is to fundamentally advance our understanding and
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and/or Python programming • An interest in interdisciplinary research spanning the fields of ecology, remote sensing, spatial analysis and mathematical ecology • Experience in writing and
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, spatial analysis and mathematical ecology • Experience in writing and publishing peer-reviewed articles • Fluency in verbal and written English • Excellent oral and written communication skills
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and/or Python programming • An interest in interdisciplinary research spanning the fields of ecology, remote sensing, spatial analysis and mathematical ecology • Experience in writing and
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Spintronics, Complex systems, Theoretical Mathematical Science, Big Data, Mechanobiology / Physical Biology, Bio-energy, Genetic to Physiology, Mental Health, High Performance Computation in Physics, Chemistry
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. Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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significantly different from their previous Ph.D. or postdoctoral work. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics
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under outstanding researchers at world famous graduate schools or research institutes. Research must be undertaken in chemistry, physics, biology or mathematics as they relate to medical and biological
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Engineering 2021: Madeleine Ransom, Philosophy 2020: Rebecca Sherbo, Chemistry 2019: Shekoofeh Azizi, Electrical Engineering 2018: Thomas Hutchcroft, Mathematics 2017: Stilianos Louca, Mathematics 2016: Dustin