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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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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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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
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
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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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, Autonomous and Interactive Systems, and Global Sustainability Engineering. Project Overview The AI Pathologist project is an interdisciplinary initiative aimed at developing an advanced AI-driven diagnostic
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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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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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interactions in health and disease Microbiome-driven mechanisms in inflammatory, metabolic, oncological, and infectious diseases Development of innovative experimental model systems for mechanistic and
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experience with process modeling with Aspen Plus Demonstrated experience with statistical analysis (i.e. sensitivity or uncertainty) PhD degree in chemical engineering or related field Preferred Qualifications