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of econometrics and first experience with statistical programs such as STATA, R, or Python and a high willingness to attain excellent econometrics skills including on machine learning You are fluent in
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under the supervision of the Ambizione grantee, Dr. Minghan Hu. Project background Artificial intelligence enables robotic machines to autonomously adapt to their surroundings and perform complex tasks
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for Project II Masters or equivalent degree in mathematics, computer sciences, physics, chemistry or related disciplines Very good programming skills Experience and knowledge in the fields of DFT modelling
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strong interest in digital biomarkers Strong expertise in machine learning methods, especially with large language models. Strong background in experimental research design in digital health and health