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academic excellence across the broadest array of disciplines including business, education, engineering, humanities and sciences, law, medicine, and sustainability. It also is an engine of innovation
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Please apply here: https://apply.workable.com/ellison-institute-of-technology/j/91F1A5719B/apply/ Led by a world-class faculty of scientists, technologists, policy makers, economists and
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learning for mathematics (e.g., model architectures for theorem proving, data-driven exploration of mathematical structures) Or experience in related areas and a passion for mathematical discovery We welcome
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approaches across a range of model organisms to understand how and why we age. As a PhD candidate at FLI, you’ll be part of an international and interdisciplinary environment where basic science meets
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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an emphasis on technology, data science and the humanities. The Nutrition, Metabolism and Health Programme is addressing one of the world’s most pressing healthcare issue: Over nutrition driven chronic diseases
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their value-add commentary), before approval and then issue to relevant stakeholders. The role-holder is responsible for maintaining and explaining the methodology and figures driven by TRAC (Transparent
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, and/or data-driven modeling Interest in interdisciplinary research and open science. LanguagesENGLISHLevelExcellent Years of Research ExperienceNone Additional Information Benefits The successful
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software development. E3 Experience in training deep learning models in research projects at scale. E4 Experience of applying good software engineering practices including but not limited to devising and
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research on data-driven methods for time-series tipping point prediction and their mathematical foundations, based on their expertise in fields such as mathematical sciences and mathematical engineering