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Field
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be the conceptual and mathematical understanding of the original Penrose spin network, with a view toward foundational notions such as geometry, subsystems, probability, and related concepts. This is
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
for DC02 at University of Twente, Netherlands. No second or third choice is required. Screening is part of the selection procedure. About the organisation The faculty of Electrical Engineering, Mathematics
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consortium. CHERMID is a multidisciplinary research centre conducting methodological and applied research on the economics of public health, mainly vaccination and mathematical modelling. VAXINFECTIO
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applied research on the economics of public health, mainly vaccination and mathematical modelling. VAXINFECTIO, including CHERMID, is involved in several European Commission funded projects and is
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Mathematics at the Faculty of Science, Forestry, and Technology invites applications for a Doctoral Researcher (PhD student) position in operator theory, complex analysis, and their applications to mathematical
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. Your qualities You have completed a Master degree physics, chemistry or another area related to environmental sciences with a strong quantitative mathematical background and practical technical skills
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and materials engineering. For more information about the APE group please use the following link: www.rug.nl/research/ape. The project cooperates with the Bernoulli Institute of Mathematics
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they meet the following criteria: A first-class honours degree (or equivalent) in Engineering, Materials Science or Physics Excellent written and spoken communication skills in English Strong mathematical and
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welcomes applications from individuals with a master’s degree in the following fields: Computer Science Mathematics Natural or engineering sciences or an equivalent degree, interested in High-Performance
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-preserving trustworthy distributed machine learning. In this research, the successful candidates will focus on mathematical backgrounds involved in differential privacy to devise novel scalable approaches