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., Heikkilä, R., Holmén, J., ... & Isometsä, E. (2025). Multimodal digital phenotyping study in patients with major depressive episodes and healthy controls (mobile monitoring of mood): Observational
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development tools such as version control. Please see https://scicomp.aalto.fi/rse/become-a-rse/ for more information on what kind of skills we value - or more precisely what you are likely to learn. Good
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independently and as part of a research team. Good command of the English language. For the Doctoral Researcher: A Master's degree in sociology, social policy, economics, other social sciences, or another
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disclosure control as well as pseudonymization and anonymization techniques. Familiarity with the principles of differential privacy (DP). Knowledge of machine learning methods for generating synthetic data
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. Experience with the use of Unix or Linux command line and Git repositories. Good quality publications in the area of computational sciences. Qualification requirements The qualification requirements
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. (2025). Multimodal digital phenotyping study in patients with major depressive episodes and healthy controls (mobile monitoring of mood): Observational longitudinal study. JMIR Mental Health, 12, e63622
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manipulation of developing mouse organs. The project will focus on how signaling pathways operate at the intersection of growth control and branching morphogenesis in the developing mammary gland and will use