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required. We value a willingness to learn and grow in these areas: University courses in advanced theoretical physics, computational physics, statistics, and quantum few- and many-body physics University
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traditional statistical modelling and supervised machine learning to quantitatively develop and internally validate the risk calculator. Linked nationwide registry data from more than 70,000 individuals
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the user interface should be designed. Second, we will apply both traditional statistical modelling and supervised machine learning to quantitatively develop and internally validate the risk calculator
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