10 Statistics "University of Wisconsin Milwaukee" scholarships at University of Twente (UT)
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languages and statistical software such as Python, R, Stata or SAS; Knowledge of quantitative modeling of financial markets, econometric techniques, machine learning, or quantitative empirical research
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languages and statistical software such as Python, R, Stata or SAS; Knowledge of quantitative modeling of financial markets, econometric techniques, machine learning, or quantitative empirical research
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affinity with statistical or mathematical modelling, and (some) programming experience, preferably in R; Has, or will shortly acquire, a quantitative master degree (for example, in Health Economics
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, interests and background: A MSc degree in health technology assessment, health economics, health sciences, econometrics, economics, statistics, operations research, computer science, applied mathematics or a
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, Sklearn, Conda, Github, etc.). Experience with natural language processing, especially LLM is a plus; Strong mathematical background, in particular statistics & probability, linear algebra, calculus and
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statistics & probability, linear algebra, calculus, optimization, and Markov decision processes. You have knowledge of financial engineering concepts such as credit risk assessment and mitigation, probability
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of Twente. While affiliated with the Stochastic Operations Research group, you will benefit from joint supervision, fostering synergies with the Statistics group and the Formal Methods and Tools group. The UT
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, or equivalent You have profound knowledge and skills in medical image segmentation, image processing, and statistical shape modelling You have excellent experience in software design and (MATLAB & Python
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the collected data. Data could be analyzed by for exploring linkages between factors developing through advanced statistical analysis. Your method will be tested and improved empirically in close collaboration
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experience with ML design and implementation, working with multiple libraries/platforms (e.g., Pandas, Sklearn, Conda, Github, etc.). Strong mathematical background, in particular statistics & probability