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science, statistical analysis, and mathematics. Experience with programming languages such as MATLAB and Python. Excellent analytical, problem-solving, and modeling skills. Strong written and verbal
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We seek PhD students that will contribute to new generations of scalable, model-based tools for cyber-physical systems based on a mathematical sound foundation, that enables trade-offs between
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science(e.g., mathematics, physics, computer science, etc.), a strong background in data science, statistics, or machine learning, and an interest in biomedicine. Alternatively, a candidate with a
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Research areas will be within the domain of risk, resilience and sustainability of complex systems. This involves utilization of advanced techniques for probabilistic modeling and analysis of systems, and their further development such as to enhance their efficiency, ensure consistency in...
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Postdoc in statistics to develop Bayesian privacy metrics for synthetic health data (2024-224-05725)
. Qualification requirements: You should hold a PhD degree in computer science, statistics, physics, mathematics, engineering, or a field of science relating to data science with emphasis on statistical
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proper decisions. The trade-off between safety and greediness are assessed using stochastic constrained optimization. At the outset, it is assumed that the mathematical model of the system is known