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knowledge for sustainable formulation design. Using different data-driven feature representations, AI foundation models will generate chemical embeddings to predict key physicochemical properties. Coupled
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Successful teaching and mentoring experiences Additional Information: In keeping with its access, excellence, and impact mission, The University of Texas at El Paso is committed to an open, diverse, and
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apply online for this vacancy and to view further information about the role, please visit: www.jobs.cam.ac.uk/job/53941 . For informal enquiries, please contact Professor Florian Hollfelder via
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treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology
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the application you agree that your personal data will be shared among the participating institutions (University of Tubingen, University of Hohenheim, Senckenberg) for the purpose and over the duration
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be centred on the use of Near Real-time suicide surveillance (RTSSS) in Wales. This data enables rapid evaluation of interventions and timely action when increases in suicides might be anticipated (e.g
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for working within an interdisciplinary research team Strong analytical skills and ability to work independently Ability to convert experimental data into useful functioning models Preferred qualifications but
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waste)? How much of an improvement to air quality could be achieved by improving user behaviour? The student will use this data along with DEFRA commissioned surveys, together with laboratory data and
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data, and digital process tools to support the scalable production of resilient, build-ready reactor components. Please contact Dr Kai Zhang (k.zhang@bristol.ac.uk) for further information. This project
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-based optimization, enabling autonomous measurement campaigns and real-time data assimilation. This research combines fluid mechanics, artificial intelligence, and robotics to establish the foundation