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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
consortium and work closely with three other PhD students, combining theory, computation, and experiments to model and manipulate the physical forces experienced by invading cancer cells. The overarching goal
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of the sound structure of language. The overarching aim of the research is to develop a unified theory. The project is therefore interdisciplinary, involving a collaboration between the fields of theoretical
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has been awarded. Experience with paleoclimate or paleoceanography theory and/or methods is an advantage. Hands-on experience in geochemistry, preferably stable isotope geochemistry, is an advantage
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design, computer experiments, sequential analysis, shape-constrained inference, time series, and Bayesian analysis. In applied mathematics, these include information theory, coding theory, control theory
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theory Ability to work in a structured manner, facilitating teamwork Ability to prioritize and complete work tasks Employment in the position is based on a comprehensive assessment of all qualification
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surroundings in Oslo and Tromsø, with rich opportunities for culture, nature, and outdoor activities Salary in position as Doctoral Research Fellow, position code 1017 in salary range NOK from 550 800 to 595 000
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. Broad interests including some of the following: Higher category theory, stable homotopy theory, computer algebra. All candidates and projects will have to undergo a check versus national export
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of Politecnico di Milano investigates the mechanics of solids and structures at multiple length-scales, through theory and simulation. SE (Structures and Environment) in DICA department of Politecnico di Milano
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qualifications: A strong background in algebraic topology. Experience in any of the following: Higher category theory, stable homotopy theory, simplicial methods. An interest in computer algebra and programming
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The Postdoctoral position is framed within Risk and Stochastics, a group that has strong interdisciplinary competence, which include probability theory and mathematical statistics, stochastic analysis, stochastic