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. You will combine technical work on machine learning with qualitative analysis of how AI systems are interpreted and used in organisational decision-making. Join the Human-Centred Computing group
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Description Do you like applying mathematical theories in practice to solve real-world challenges? Do you like working with top-notch, internationally recognized industrial partners? Would you like to push the
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) detection and Uncertainty Quantification (UQ) methods for Earth Foundation Models. By mathematically flagging when incoming data represents a never-before-seen anomaly, you ensure the foundation model does
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order to be successful, you bring: MSC in Computer Science, Physics, Engineering, mathematics or related disciplines with a strong background in data analysis, mathematical modeling and algorithms Good
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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