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disease trajectories. The project is part of a Nordic initiative in large scale healthcare data analysis for development of precision medicine approaches. The researcher hired for this postdoctoral fellow
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tools to differences in genotypes and environment to predict disease trajectories. The project is part of a Nordic initiative in large scale healthcare data analysis for development of precision medicine
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knowledge for precision medicine in psychiatry, building on advanced statistical methods for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological
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studies. Proficiency in relevant computational tools and statistical methods. Experience with machine learning in large datasets. Interest and motivation to work in a multidisciplinary team. Ability to work
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data, to better understand how biological, psychological, and environmental factors contribute to severe mental disorders, their treatment, and outcomes. The Centre has access to a large database of
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environment. Qualifications requirements Applicants must hold a degree corresponding to a Norwegian doctoral degree in biostatistics, statistics, machine learning, mathematics, data science, computer
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functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case