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Field
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provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational
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for Quantum Computing Analytics (PGI-12) is to model and improve quantum computing systems on multiple levels. From optimal control of the hardware, over error mitigation and compilation, to application
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position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We
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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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, enabling unprecedented control over wavefront manipulation through subwavelength artificial structures. By harnessing the linear and nonlinear optical properties of meta-atoms, MSs offer a versatile
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The position will be attached to the project “SURE-AI” (http://www.sure-ai.no/ ) funded by The Research Council of Norway, and lead by Simula Research Laboratory. The main focus of the research will be
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Responsibilities Conduct independent laboratory research related to microbial fermentation, strain engineering, and biotransformation. Develop and optimize microbial strains, biosynthetic pathways, and cultivation
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industrial contexts remains limited due to several structural limitations: · limited interpretability of model behavior; · weak guarantees regarding robustness and reliability
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on the theory of deep learning will investigate questions such as the structure and expressivity of emerging neural architectures relevant to space, such as implicit neural fields, continuous normalising
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will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in