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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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of Technology’s campus in Luleå. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems
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Gordon Bell prize in 2023), and VeloxChem (a versatile open-source quantum chemistry software). As a postdoctoral researcher, your primary focus will be to pioneer innovative, technology-aware algorithmic
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of this type of experiment for battery science, as well as for many other research domains. This project will also include the development of iterative reconstruction and noise suppression algorithms towards
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theory doctoral student on the project, you will: Use crystal-structure prediction algorithms together with periodic Density Functional Theory to search for stable Xn (C6 O6 )m phases across a range of
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consists of method development, in which existing simulation techniques are further developed using machine learning algorithms to enable more efficient, scalable, and realistic simulations and material
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develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major journals on data privacy (Transactions on Data Privacy), and has
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HIBEAM/NNBAR at ESS and – most relevant for this project – LDMX at SLAC (https://confluence.slac.stanford.edu/display/MME/Light+Dark+Matter+Experiment ). We exploit synergies across these projects, and our
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possible. One or two extended research visits are encouraged during the doctoral study. Applicants should have a strong interest in the mathematical analysis of algorithms in general and cryptography in
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, algorithms, and tools for human-centered intelligent realities, to lead the way for future immersive, user-aware, and smart interactive digital environments. The project is divided into five separate Research