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Field
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and nudging systems capable of supporting positive patient outcomes across a range of conditions. The successful candidate will contribute to the development of a scalable and interoperable AI system
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Generative AI for eXplainable Precision Medicine" project funded by the European Union, for the development of digital twins with the use of generative AI for oncological/cardiology applications. The candidate
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role in enabling this transition, while also introducing new challenges related to system dynamics, stability, and control. This project focuses on the development of modeling, stability analysis
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experience in one or more of the following areas: Program evaluation Impact evaluation or randomized controlled trials Labor economics or workforce development programs Analysis of government administrative
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education and science. Methodological diversity, interdisciplinary cooperation, transdisciplinary cooperation with practice and an overall dynamic development characterise its research profile in the core
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week) and can be done remotely, though an eastern-time-zone schedule is required for ease of communication. Primary Responsibilities Primary responsibilities include software development, coding, and
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. Department: https://medschool.uci.edu/research/clinical-departments/psychiatry-human-behavior Qualifications Basic qualifications (required at time of application) Ph.D. or equivalent degree with relevant
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for the candidate(s) who will be hired, and the candidate(s) are exempt from paying the fee until the final ranking. You can find more information at the following link: https://www.uc.pt/academicos/graus
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field concerns development of innovative concepts that can enable the use of alternative biomasses for production of healthy, tasty and sustainable food products for the future with particular emphasis
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development have been set-up to respond to these societal issues. Scientific supervisor: Thomas Berthelon - MOST team ([email protected] ) Where to apply Website https://emploi.cnrs.fr