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Field
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) numerical analysis and real or elementary functional analysis; (b) probability theory; (c) implementation of computational methods using, for example, Julia or Python. To apply, please contact the main
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University invites applications for a PhD position in Statistics (survival analysis). This 4-year position is part of a research project on the development of new statistical methods for the dynamic prediction
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-performance liquid chromatography (HPLC) analysis, cell culture, and multiscale bioinformatics analysis. Initial requirements: Currently enrolled in or recently graduated from an official MSc in Bioinformatics
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not be considered. Screening is part of the selection process. About the department The candidate will join the Design and Analysis of Communication Systems DACS group at the University of Twente
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for efficient last-mile deliveries with a focus on climate and flexibility. Using advanced modeling and data analysis, you’ll create solutions that make final deliveries smarter and more sustainable. Your work
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: Mathematical modeling and statistical data analysis. Evaluating data as potential predictors explaining the spatial distribution of archaeological or epigraphic finds (e.g., analysis of variance, correlation
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members and more than 55 doctoral students and postdoctoral fellows. The Department conducts research at an international high level within the disciplines of algebra, analysis, didactics of mathematics
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mathematical research and preparing scientific publications, you will be expected to actively participate in seminars and discussions within the department, as well as present your work at (inter)national
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powerful ideas and tools at the intersection of topological band theory, symmetry analysis, and photonics. You will work on developing and applying these ideas to discover new topological phenomena, design
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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation