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well as dissimilar combinations has taken shape with the aid of numerous funded projects implemented in close co-operation with industries. However, there has been very limited previous work globally addressing
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of engineering sciences. The laboratory has high-quality experimental facilities that are central to many of its activities. Despite numerous efforts and major investments in R&D in recent years, the use of proton
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architectures) to large-scale biomedical datasets. These models will be used to work with different types of data from the healthcare and biological domains, including genomic profiles, and clinical event
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
work will consist of optimizing the codes that generate input data and process output data. • The postdoctoral researcher will carry out comparative work using data from geodesy and seismology
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linear algebra computations, building software for scientific applications using GPUs (Graphics Processing Unit), multi-threading and parallelism, numerical discretization methods (finite differences
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robotic 3D printing. Optimize the digital twin for different manufacturing process parameters, printing methods and materials. Disseminate the results in peer-reviewed journals. More specifically, you
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; numerical analysis; programming; optimization; stochastic analysis; systems theory. What you will do You are expected to develop your own ideas and communicate scientific results orally as well as in written
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such as optical chirality density, optical spin density, and the various elements of the Mueller matrix make it possible to quantify and control light-matter interactions at different spatial scales
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described will be excluded. * This includes different I&D Units, even if they are based in the same Organic Unit (UOEI) of UMinho (according to nº 4 and 5 of the Article 7º of the FCT I.P. Research Grants
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
design theory that facilitates multi-objective, multi-disciplinary optimization of data center design considering location, building operations, materials, energy use, water use, cooling system design, and