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Field
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Internal Number: JR89928 Position Summary This position will primarily support the implementation of a newly funded National Institute of Mental Health R01 grant focused on optimizing a digital chatbot
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research analysis on geothermal well development and other advanced energy technologies that could achieve transformative gains in energy efficiency. Ability to develop optimization and life cycle models
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microstructural engineering will focus on in-situ optimization of the local distribution of grain sizes, crystallographic orientations, and stresses by the novel possibility of varying the laser beam shape and spot
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project. The overarching aim of this project is in the development of new knowledge and a new framework to facilitate the optimal design and life-long adaptation of civil infrastructure systems
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related field in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in
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Researcher to join an interdisciplinary team working on a theoretically informed, participatory, implementation study (OPTIM-I), aiming to optimise the use of professionally trained interpreters (PTI) in
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upgraded hadron calorimeter, trigger system optimization, and improvement of particle flow reconstruction. We are currently engaged in measurements involving the top quark, searches for rare Higgs boson
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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. The successful candidate will collaborate with cross-disciplinary teams (biologists, engineers, chemists) to design, optimize, and operate bioreactors, digesters, and other equipment. By employing advanced
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under small temperature gradients (ΔT ≤ 30 K). Design and Optimize novel fabrication techniques to achieve high packing densities in thermoelectric generators (TEGs) for powering IoT sensor networks