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Recuperação e Resiliência (PRR), with a view to developing a final model that uses mass optimization techniques, validation of results in real-world scenarios, namely the extraction system, manufacturing and
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advanced artificial intelligence/machine learning (AI/ML) solutions for fusion science and operations. Building and applying foundation models and surrogate models to speed analysis and optimize performance
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, mathematical physics, mathematical statistics, number theory, numerical analysis, optimization, partial differential equations and topological data analysis. Currently, there are about 25 graduate students
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optimizing experiments, collaborating with other lab members to support complementary projects, participating actively in weekly lab meetings and research discussions (65%); • Write and publish high-quality
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design/verification guidelines, and demonstrate their effectiveness through nonlinear modeling, testing, and case studies. Activities foresees in the project will include: (i) nonlinear numerical modeling
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on microfluidic and physical principles, fabricate & optimize using state-of-the-art microfabrication techniques and characterize chip performance (fluidics, mechanics, and reproducibility). Method development
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at the upper-division and graduate level. All areas of expertise in applied mathematics will be considered, but areas of special interest include numerical analysis, computational methods, numerical optimization
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communications, and can be used to diagnose diseases, while microbacteria are important for research on antibiotics resistance. The main task for this position is to design, fabricate and optimize a photonic
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of the Department of Physical Medicine and Rehabilitation (PM&R) is to provide a full range of rehabilitation services designed to restore patients to their optimal functional capacity. This role will ensure proper
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experience in the development of biosensors, preferably applied to the biomedical field, ranging from the design and optimization of sensory platforms to validation in relevant healthcare contexts. 5