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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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, 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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(or earlier/later, if mutually agreed). The position is intended for an economic historian with expertise in causal inference using quasi-experiments and an interest in studying political preferences and racial
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developments in the field and either push the boundaries of SLT on the mathematical foundational theory side, extend SLT to new learning frameworks (e.g. variational inference or reinforcement learning, etc
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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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inference. As part of your application, please provide a research proposal of no more than five pages, answering the following questions: What EO challenge would you like to address using foundation models