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of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this and expected to be in the upper segment
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Mathematical Sciences at the University of Göttingen as well as the associated research training group "Fourier Analysis and Spectral Theory" and the collaborative research centre "Mathematics of Experiment
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 3 months ago
geometric constructions and data analysis. To be successful in this role you need to have the following qualifications Ph.D. degree in mathematics, physics or other subject of relevance for the position M.Sc
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benefit from a co-supervisor based at the nearby John Innes Centre, a world-renowned centre for plant science, where you will spend time in the Biomolecular Analysis Facility. You will also have the
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, Skills and Experience • You will have substantial technical experience in time series analysis, ideally either in neurophysiology data or wearable sensor data • You will have experience of at least
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to velocity profiles, which will be informative for the design of offshore renewables. Further mathematical analysis of these nonlinear terms will shed light on the question: what generates these extreme waves
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, optimization techniques, and climate change scenario analysis. The successful candidate will contribute to the development of intelligent models and decision-support tools that enhance the performance
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transport to Wettzell, installation, optimisation, operation, enhancement, measurement campaigns during the ACES mission, data analysis. The scientist will also contribute to enhance the performance of and
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
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Centrum Wiskunde & Informatica (CWI) has a vacancy for a 4-year PhD position (m/f/x) on the subject of Reliable AI-powered Data Analysis in collaboration with the University of Amsterdam. Interested