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desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory, concentration inequalities, statistical optimality theory, sequential inference, computational
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expertise in computational methods. Documented experience with R or Python programming is also very desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory
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Lomagundi-Jatuli carbonate carbon isotope Excursion (LJE) in the GOE-DEEP drill-cores. Sampling of drill cores (and potentially outcrops) for detailed isotopic-geochemical analyses including component
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, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics
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the rest of the team: • Design and build physical robots that can be mechanically reconfigured and iteratively improved. • Integrate and test autonomy stacks (perception, learning, planning
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. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented
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the proposed approaches react to real-world environments. What the PhD fellow will work on, in collaboration with the rest of the team: • Design and build physical robots that can be mechanically reconfigured
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separation and wetting on cellular membranes Apply for this job See advertisement About the position A Postdoctoral Research Fellowship is available at the Mechanics Division, Department of Mathematics
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(and potentially outcrops) for detailed isotopic-geochemical analyses including component-specific analysis using bulk techniques on micro drilled samples and in-situ techniques on thin-sections and
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for a period of four years are expected to acquire basic pedagogical competency during their fellowship period within the duty component of 25 %. Project description / Job description The NorFab