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, interdisciplinary collaboration, and potential for real-world impact and commercialization are key elements of the evaluation. About the fellowship The KAUST Global Fellowship is designed to prepare emerging research
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Investigator AssociateProfessor Christoffer Clemmensen “Pharmacologically leveraging neurotrophic factor signaling for sustained weight loss” Principal Investigator Professor Juleen R. Zierath “Deciphering
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Please apply online, demonstrating how you meet the essential criteria outlined in the knowledge, qualifications, training, and experience elements of the job description in your supporting statement
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biomedical research. If you are interested in applied quantum chemistry with a focus on heavy element compounds, this is an ideal opportunity for you. The Marek lab has access to state-of-the-art computational
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for real-world impact and commercialization are key elements of the evaluation. About the fellowship The KAUST Global Fellowship is designed to prepare emerging research leaders for independent careers in
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/salary scale, nature of the Contract; d) Salary elements: base salary, other fixed or variable payments, allowances, vacations, attendance and absenteeism, leaves, other elements related to the attribution
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technologies through holistic views of fuel cells (especially ammonia fuel cells) and metal and metal ion (Li, Na, Ca etc.) batteries, from the nanoscale to device level. Other battery technologies can also be
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for predicting cancer neoantigens. J Exp Medicine 217, (2020). Kong, Y. et al. Transposable element expression in tumors is associated with immune infiltration and increased antigenicity. Nat Commun 10, 5228 (2019
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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to rigorously evaluate new and uncertain community-level interventions in infectious disease control. A key component relates to harnessing advanced mechanistic disease transmission models to improve prediction