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Field
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engineering in healthcare. Minimum Education and/or Training: Master's degree in computer science, computer engineering, data science, information technology or related field required. PhD degree in data
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at the intersection of systems neuroscience and computational modeling. Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied
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the Faculty of Science. We will apply Bayesian approaches such as the information-theoretic minimum message length (MML) principle and other approaches to develop a path towards statistically-optimal algorithms
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for the prediction task, such as predicting the bioassay of a given chemical network. One of the approaches that will be considered will be the Bayesian information-theoretic Minimum Message Length (MML) principle
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factorizations, least-squares problems, descriptive statistics, probability rules, probability distributions, statistical significance, hypothesis testing, estimation, Bayesian paradigm. Benefits:https
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appointment of the Technical University of Munich and the Remote Sensing Technology Institute of the German Aerospace Center (DLR). It engages with the development and fundamental research of computer vision