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Excellent organizational and problem-solving skills. Ability to work independently as well as collaboratively in an interdisciplinary and international environment. Excellent written and oral communication
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econometrics, statistics and quantitative analysis experience with at least one statistical programming language, such as Stata, R or Python, and an openness to learning additional tools the ability
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healthcare settings. Job description The PhD will form part of a broader interdisciplinary research programme in mobile health and AI, with applications in areas such as mental well-being, fall prevention
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of a collaborative team. Excellent spoken and written English. Experience with reactive-transport/geochemical modeling is beneficial but not required. We offer A collaborative research environment: You
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, fracture, or solid mechanics is an advantage You are curious, self-motivated, and enjoy developing numerical methods to answer mechanics questions You are fluent in English, both oral and written You enjoy
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Liver/GI Health In addition to research, the PhD candidate is expected to contribute to lab duties and teaching, including student supervision, lecture support, and practical courses in the lab Profile We