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Languages English English English Researcher in machine learning modeling of human physiological models Apply for this job See advertisement About the position Position as Researcher available at the Center
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statistical analyses, including novel methodology for analysis of complex polygenic traits and prediction tools for precision psychiatry on longitudinal multimodal data, to fit and validate prediction models
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properly. Please turn on JavaScript in your browser and try again. Jarli & Jordan/ UiO 4th April 2025 Languages English English English PhD Research Fellow in cognition in language models at the Center
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(IRT) models in small samples. The ideal candidate has prior knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant
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, including digital twin methodology, to fit and validate prediction model. Perform quality control and imputation of genotype and ´omics data, as well as processing of neuroimaging data from relevant datasets
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-compliance in ecological momentary assessment, or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The ideal candidate has prior
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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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system diseases by combining gene engineering and generative machine learning modeling to design gene therapy constructs and validate the constructs in vitro and in vivo. The candidate will work in a
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data
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the ability of the mono-ADP-ribosyltransferase, Parp7 and Parp11, at improving check point inhibition therapy in intraductal mammary tumour models. More about the position Research activities will take place in