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-preserving data analysis. We are looking for a PhD student to join our team and contribute to cutting-edge research in theoretical computer science, with a focus on Secure Multi-Party Computation. You will
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on its own methodological traditions, faculty members necessarily apply a wide range of methods and frequently rely on meta-analysis, event history modelling, fs/QCA, and ethnographic observations. RSM
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are seeking a motivated candidate with a Master degree in epidemiology, data science or health economics. Experience in simulation modelling, regression analysis, mathematical background and (clinical) work in
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related field, and a strong interest in biomedical applications. Experience in machine learning, statistics, or high-dimensional biological data analysis is advantageous. Ideal candidates are curious
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percent of the contracted time. Your qualities We look forward to your application if you have the following qualifications: You hold a MSc (or near completion) in statistics, applied mathematics, data
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bottom up, whether it's code or biological structures. Requirements: A Master’s degree in Computational Science, Biomedical Engineering, Biophysics, Physics, Applied Mathematics, or a related field; Strong
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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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understanding of plant-microbe interactions; demonstrable analytical and problem-solving skills; experience with data analysis using R; proficiency in written and spoken English; proactive and collegial working
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optical devices (e.g. carrier dynamics, optical gain, waveguide optics) Ability to simplify complex physical behaviours to the core measurable parameters for efficient mathematical models. An affinity
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Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech