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: A systematic literature review, qualitative interviews and field observations, and surveys and network analysis. The knowledge from these studies will be used in the ongoing intervention project (in
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combine single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing (with long reads) data. The candidate will get the opportunity to explore new analysis methods using
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the fields of biostatistics, data science, nutritional epidemiology, and/or related fields Experience with large-scale data analysis in a food or nutrition context Research environment The successful candidate
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an innovative education format: A teaching module for English language education at secondary education institutions. This module includes creative future fiction writing, cross-border in-class analysis, and a
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, reinforcement learning, multi-agent systems, operations research), statistics (extreme value theory, time series, functional data analysis, multivariate analysis), and bioinformatics (biological networks, multi
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for collaboration, personal growth, and mentoring for starting independent research groups. The section is broadly interested in the design, analysis, and application of algorithms and has major impact in online and
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experience with: Mechanical (CAD modelling) Signal processing Experimental design and data analysis Furthermore, the successful candidate is expected to: Have excellent knowledge of English (written and spoken
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, grant writing, data collection and analysis, as well as publications and outreach activities. The post doc will be daily project manager and responsible for conduct and progress of NIPH’s research
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(deep learning, natural language processing, reinforcement learning, multi-agent systems, MLOps, operations research), statistics (extreme value theory, Bayesian inference, multivariate analysis), and