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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
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data, MRI data, and other types of data. Contribute to projects at LCBC with data analysis, development, and implementation of advanced machine learning models. Write and publish scientific articles
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learning models. Write and publish scientific articles. Qualifications Qualification requirements PhD in a relevant field before commencing the position, such as psychology, computer science, and
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for an associate professor position. A career plan shall be developed for the postdoctoral fellow, specifying the competencies the postdoctoral fellow should acquire. UiO is responsible for following up
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the postdoctoral fellow should acquire. UiO is responsible for following up on the career plan and ensuring that the postdoctoral fellow has access to career guidance throughout the postdoctoral term. A PhD position
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. Your main tasks will be Develop and apply machine learning techniques and statistical analyses, including novel methodology for analysis of complex polygenic traits and prediction tools for precision
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Develop and apply machine learning techniques and statistical analyses, including digital twin methodology, to fit and validate prediction model. Perform quality control and imputation of genotype and
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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