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) and statistical modelling (e.g. mixed models, ANOVA, power analysis). Curiosity and a willingness to learn are a pre-requisite and familiarity with physiological data (e.g., heart rate variability) is a
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infrastructures, or urban energy applications is a strong asset. You are self-driven, creative, and bring strong problem-solving skills as well as the ability to work in an interdisciplinary environment
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experience in machine learning and data-driven modeling. Ability to work independently as well as collaboratively in an interdisciplinary team. Excellent command of English, both written and spoken. Previous
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library. Strong interest in machine learning, reinforcement learning, and fluid dynamics. Ability to work independently and collaboratively in an interdisciplinary team. Excellent command of English, both
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infrastructures, or urban energy applications is a strong asset. You are self-driven, creative, and bring strong problem-solving skills as well as the ability to work in an interdisciplinary environment