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integrative part of sustainable and healthy diets. Development of analytical methods, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12
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, as Principal Investigator or Co-Investigator; (b) provide quality teaching at undergraduate or postgraduate level; (c) contribute to departmental service; (d) contribute to the development and
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development and extension of a benchmarking framework
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bioavailability of micronutrients, and strategies to produce and process plant-based foods with enhanced concentration of micronutrients as an integrative part of sustainable and healthy diets. Development
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
opportunities that span the campus and community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
opportunities that span the campus and community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy
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offers plenty of opportunities for growth and development, with a strong internal recruitment policy and excellent training programmes. You will work on the greenest and most innovative campus in
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caregivers Professional development opportunities including tuition assistance and reimbursement Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits
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proposals. Track record of methodological innovation or development of new electrophysiological techniques. Experience mentoring trainees and managing a research team. Demonstrated expertise in physiology and
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, etc.) development of predictive models and digital decision-support tools for nutrition and health method development in causal inference, integration of heterogeneous data sources, uncertainty