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to develop new methods, for example using machine learning. have a proven track record of independent research funding and high quality publications. have at least 5 years of post-PhD work experience
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nutrition at BSc, MSc, and PhD levels, and driving innovation in teaching and research; jointly managing, together with four other chair holders and an operational manager, the daily operations
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current work within the EAGLE consortium. The project offers extensive opportunities to work with state-of-the-art quantitative methods in twin modelling and statistical genomics research. Relevant tools
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community, or the ability to build one. Experience contributing to research programs and preferably funding proposals. A PhD in (applied) physics, mechanical engineering, or a related field, is preferred. A