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to development of new methodologies within the field. Potential activities include: Developing machine learning methods to support preconditioning and accelerating simulations, one-shot design and inverse design
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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within a day’s drive), a variety of golf courses allowing for year-round play, hundreds of miles of hiking and biking trails (some adjacent to the hospital), and numerous other outdoor activities
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and testing of GEM gas detectors with dedicated electronics for data acquisition and processing. The tasks include the preparation of numerical tools, analysis and processing of data from a multi
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administrative tasks. Responsibilities Assist with planning, preparing, and executing numerous events throughout the year for prospective students, current students, and alumni. Responsibilities include event
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Code, a position for a First Level Doctorate for the exercise of research activities in the scientific area of Environmental Sciences and Engineering, to exercise the functions of the numerical modelling
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a relevant numerate subject, for example, mathematics, operational research, statistics or economics. Ideally, you should have an emerging track record of peer-reviewed publications and research
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data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series sensors, and multi-omics or assay data to create predictive models and
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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), uncertainty quantification, and atomistic simulations within the FNR-funded UMLFF project. MLFFs have transformed atomistic simulations, offering quantum-chemical accuracy for large systems. However, they