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: Good programming skills. Experience with machine learning libraries (e.g., TensorFlow, PyTorch, Jax) is helpful; Strong mathematical background, in particular statistics & probability, linear algebra
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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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, 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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a highly motivated, enthusiastic researcher who is driven by curiosity; You have a master’s degree or equivalent experience in Business, Economics, Engineering, Information Technology, Mathematics
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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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, 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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: Good programming skills. Experience with machine learning libraries (e.g., TensorFlow, PyTorch, Jax) is helpful; Strong mathematical background, in particular statistics & probability, linear algebra
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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