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research project "Chasing traces of analyticity with applications to operator theory" funded by the Swedish Research Council: Chasing traces of analyticity with applications to operator theory - Mälardalen
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academia and industry. Requirements The following qualifications are required: Solid knowledge in mathematics and statistics, in areas such as linear algebra, probability theory, machine learning, high
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education in theory and practice of generative modeling, have research experience or education in life science data and have prior experience with remote GPU and HPC services. After the qualification
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experiments and molecular techniques. Development of existing ecological theory and advance our understanding of ecological interactions is central, and we aim to produce knowledge that can be used in decision
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the area They will develop new theory and methods; and analyze the generalization performance of these methods The work as a doctoral student also includes writing scientific publications and presenting
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computational research on nuclear, elementary particle, and astroparticle physics. The focus of the current search is low- energy nuclear theory; a research area in which we have a strong international position
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, probability theory, etc) A competence in quantitative topics equivalent to a mathematics, statistics, physics, computer science, or engineering degree is required (if your degree was not in one of these domains
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previous experience with e-graphs, or is familiar with theory and algorithms used by, for example, proof assistants, term rewriting systems, optimizing compilers, program analysis tools, constraint solvers
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, focusing on issues of technology and social change. Undergraduate programs include a bachelor's and a master's program in Urban and Regional planning, as well as courses in theory of science and history
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related to the research project, including an interest in connecting theory and practice for understanding the relationships between science, politics, power and social justice. Fluent level of English