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Bayesian framework and two specific proposed lines of research: (1) constructing suitable priors via neural networks approximations, and (2) enhancing the sensitivity and efficiency of posterior diagnostics
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version control and containerization (Docker/Singularity) Statistical Modeling: Quantitative data analysis using GLMs, Bayesian methods, or mixed-effect models to interpret complex perturbation datasets
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-based, Bayesian or matrix factorization methods for multi-omics integration. Ability to independently perform data analysis and scientific interpretation based on omics data at an internationally
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, or network-based, Bayesian or matrix factorization methods for multi-omics integration Ability to independently perform data analysis and scientific interpretation based on omics data at an internationally
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with the objectives of the call, as well as its relevance to SciLifeLab, will be considered in the overall assessment. About the position SciLifeLab Fellows are based both at SciLifeLab and at one
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with the objectives of the call, as well as its relevance to the DDLS program and SciLifeLab, will be considered in the overall assessment. About the position DDLS Fellows are based both at SciLifeLab
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Are you ready to take responsibility and contribute to life-saving research? At AIDA Data Hub, we work with virtualization, containerization, block and object storage, and much more. You will script