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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data
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of energy. Approximately 25 colleagues work in the division, including 15 PhD students. On the international level we collaborate with universities and institutes in Europe, Asia, and North America
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or relevant topics be result-oriented and have high level of motivation and will to face challenges and conduct systematic research to solve them, if necessary, by learning/adopting new techniques/theories
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themes: Trust, Cooperation, and Learn. Digital Futures Research Matrix What the call offers The opportunity to conduct research in a new research group at a leading university of institute within
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systematic research to solve them, if necessary, by learning/adopting new techniques/theories thoroughly understand and conduct good research practices according to the desired time table. be creative and
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. The position shall include the opportunity for three weeks of training in higher education teaching and learning. The project has two parts: i) development of a universal cryo-Cage for structural determination
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addition to the research, the applicant is expected to participate in the supervision of master's and PhD students. Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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or an equivalent foreign degree in Mechanical Eng., Naval/Maritime Eng., Meteorology, Atmospheric Physics, Chemical Eng., Physics, Mathematics, Aeronautics or any relevant PhD program. This eligibility
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transitions and universality for spectral statistics of random matrices and their applications in high-dimensional statistics, machine learning and probability theory. The Department of Mathematics at KTH
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written proficiency in English Proven ability to lead and co-author scientific publications We are particularly interested in candidates, who are willing to learn new methods and perform interdisciplinary