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Field
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imputation, nonparametric methods, Bayesian framework, and predictive model development and validation. • Implements bioinformatic pipelines and performs data analysis to support omics studies, including
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underlying spatial data, high-dimensional and big data (e.g., data from wearable devices, electronic health records), Bayesian statistics, and learning algorithms as novel data analytical tools in applications
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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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within brain networks. Among several proposed mechanistic accounts, the Bayesian predictive coding framework has gained increasing prominence. According to this framework, perception of proprioceptive
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-Nicholson Brain Institute (SNBI ) , the FAU Institute for Human Health and Disease Intervention (I-Health ) and the Institute for Sensing and Embedded Network Systems Engineering (I-SENSE ) is pleased
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health equity or assessing the impact of AI on health equity Strong programming skills in R, Python, Bayesian machine learning, etc. Experience using computing clusters (batch processing), cloud computing
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of interest include: infectious disease dynamics in wild and domestic animal populations wildlife diseases and conservation network analysis of disease spread phylodynamics model-based statistical inference
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Bayesian Networks (DBNs) for probabilistic risk modelling Scenario-based simulation for rare-event analysis You will be part of a dynamic, interdisciplinary research setting at one of Europe’s leading
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the structure and robustness of the ecological networks supporting reef fish communities at different positions along depth, latitude, and longitude gradients; challenging these networks under hypothesized future
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to make decisions for localization, navigation, and cooperation. Within the ERC Starting Grant project CUE-GO – Contextual Radio Cues for Enhancing Decision-Making in Networks of Autonomous Agents