The post-docs will work in a project funded by the Research Council of Norway – FriMedBio program. The research area is statistical data modeling, and the goal is to quantitatively characterize the genotype-phenotype mapping, using data form brain imaging and whole genome studies. The work will involve multivariate statistical modeling, to identify more of the polygenic contribution to development of human disorders, focusing on bipolar disorder and schizophrenia.
•Applicants should have a doctoral degree (PhD) in statistics, mathematics, physics or equivalent. It is acceptable if the degree will be formally obtained within 3 months from the deadline of the present call. •The ideal candidate has methodological expertise and applied experience with parametric or nonparametric multivariate modeling, machine learning methods or generalization performance, classification prediction, familiar with MatLab, R or Python, and an outstanding potential and genuine interest to apply and develop statistical methodology for this project. •Background in population or evolutionary genetics, microarray statistics, Bayesian methods, and information theoretic learning, among others, can also be useful, as well as some knowledge of molecular genetics.