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written and oral English are a prerequisite. English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd
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of dynamic systems. Our work combines fundamental control theory with applications in areas such as transportation, environmental and biological systems, and electric power systems. The division also teaches
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, spectral graph theory, and metric embeddings, combining these tools to address fundamental challenges in modern algorithm design. More information about us can be found at https://taa.cs.univie.ac.at/ Your
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range of topics in numerical analysis and applied mathematics, including: Approximation Theory & Numerical Integration Mathematics for Data Science & AI Combinatorial Optimization Stochastics
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. Knowledge of electronics theory with emphasis on audio, video and communications circuitry, AV IT control systems and signal flow. Knowledge of acoustic design theory. Excellent attention to detail
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) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer
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Translation Studies and/or Interpreting Studies and/or in other relevant disciplines (with a dissertation on a topic relevant to the teaching and research tasks) Excellent knowledge of theories and approaches
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quantification, model order reduction, data assimilation, optimal control, and their applications. The successful applicant is expected to complement the faculty’s ongoing research activities in the field
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learning, quantum computing, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the COMMLab, the 6GSPACE Lab
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Farming The candidate will investigate: Public perceptions of vertical farming technologies. Consumer trust and confidence in controlled-environment agriculture. Perceived risks and benefits associated with