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, methodologies, and information derived from Bayesian modeling, data science, cognitive science, and risk analysis. Its primary objective is to create advanced forecasting models, generate meaningful indicators
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, methodologies, and information derived from Bayesian modeling, data science, cognitive science, and risk analysis. Its primary objective is to create advanced forecasting models, generate meaningful indicators
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), and physiological parameters in the study of animal behaviour; a strong background in data analysis using R, preferably experience with Bayesian statistics and social network analysis; lab experience
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of metabolic and cellular properties Phylogenomic analyses of obtained MAGs, including extraction and evaluation of marker genes, performing ML and Bayesian analyses of (concatenated) marker gene sets using
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in the Smart Grids sector Develop a systematic, replicable and scalable methodology to achieve and continuously update those skills Provide a sustainable action plan (strategy or Blueprint) to keep
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regular meetings and updates with international collaborators. What we offer: Access to international research networks and collaborations. Training in advanced clinical trial methodology, biostatistics
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inventories and creating/updating standard operating procedures. Where to apply Website https://www.academictransfer.com/en/jobs/357025/postdoc-in-crispr-technologies/… Requirements Specific Requirements We
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, the adaptation of the ECSS NG to the ESA Mission Classification pre- tailoring activity (both for PA/QA and engineering disciplines) and updating pre-tailoring statistics accordingly. actively contributing