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aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD codes. Risk analysis and risk assessments in the process industry. Good
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/regulations.html#toc8 The purpose of the fellowship is research training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
esteemed research communities make UiO an important contributor to society. The Department of Mathematics is part of the Faculty of Mathematics and Natural Sciences at the University of Oslo. The Department
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mathematics e.g. calculus and probability Ideally experience with command line and sequence analysis Good programming skills (e.g. R, Python, C/C++) Knowledge of basic statistics and application in R or similar
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Department of Management and Marketing Research Fellow / Part-time Research Fellow / Research Associate (Ref. 250411023) (1) Research Fellow (two posts) [Appointment period: each for twelve
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associate to work with Professor Christopher Kuzawa at Harvard University. The postdoc will oversee analysis and write up of an extensive longitudinal dataset that has followed a large population in Cebu
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to bolster the projects success using literature or experience Collaborate with functional and technical experts to facilitate project support Closely collaborate with QTAS for mathematical model development
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of Mathematics in the research group of Prof. Andreas Carlson at the University of Oslo (UiO). The position is part of large interdisciplinary project which focuses on the understanding of the biophysical
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consists of empirical methods (observational and controlled experiments) and theoretical modeling (mathematical, statistical, and computational). The Fellow will work closely with Dr. Otárola-Castillo
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transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily