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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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period of 3 years with the possibility of a 4th year with career-promoting work (e.g. teaching at the Department). About the project/work tasks Algebraic cryptanalysis examines the security
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the final exam. Desired qualifications: Background in probability theory and Monte Carlo methods, and familiarity with stochastic processes. Strong background in hydrodynamic, nonlinear and stochastic wave
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and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and
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. Desired qualifications: Strong interest in or prior experience with data and risk analysis. Experience with statistical modelling, stochastic processes, or applied probability. Experience with scientific
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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provide a fundamental understanding of the physical processes at play when droplets interact with soft hairy surfaces and when actively driving a soft sheet near a wall. Essential to the projects is
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. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department of Informatics at the University of Oslo. The DSB research group has seven full
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if you are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. Your research focus will be
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work as well as having a strong interest in computational efficiency, which is fundamental in real time processing of streaming data. The position is affiliated with both Integreat and the Statistics and