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also count in the assessment of the applicants: optogenetics, chemogenetics, computational and statistical methods for analysis; rodent behaviour, histology methods, sleep scoring, neurodevelopment as
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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medicine in psychiatry, building on advanced statistical methods for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors
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experiments to evaluate different debridement tools for infected implants and subsequently analysis. Throughout the in‑vivo phase you will develop a clinical protocol suitable for first‑in‑human pilot studies
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equality initiatives at UiO can be found here. How to apply The application must include the following six elements as separate documents: Cover letter Five-page research plan (following the template
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the following will also count in the assessment of the applicants: optogenetics, chemogenetics, computational and statistical methods for analysis; rodent behaviour, histology methods, sleep scoring
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material science. The candidate will participate in in vivo experiments to evaluate different debridement tools for infected implants and subsequently analysis. Throughout the in‑vivo phase you will develop
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for appointment. Good knowledge of programming and data analysis using Fortran, Matlab, Python, or similar programming languages. Experience in using and developing models to simulate natural systems. Knowledge
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pedagogical competency in the course of their fellowship period within the duty component of 25 %. No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo. Project
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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