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Field
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Area of research: Diploma & Master Thesis Job description: Master's Thesis – Nanocarrier Development for Immune Cell Targeting (f/m/x) 102909 Part time 20 hrs./week Neuherberg near Munich Partial
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digital twin targeting industry scale wind turbines within the European Horizon Europe MSCA Doctoral Network "Coupled Problems for Decarbonization in Industry and Power Generation" (COMBINE) The position
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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the DFG-funded research project ICEBAY, which focuses on Bayesian hierarchical modeling and probabilistic inference for temperature reconstruction by combining borehole thermometry and ice-core data. The
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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student's primary field of training, we offer targeted feeder courses that are specifically designed to teach relevant basics to non-specialists. Depending on their background, life science students can take
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Machine Learning Seminar Group Advanced Tutorial Lecture Series on Machine Learning Non-Parametric Bayes Tutorial Course (October 9, 16 and 28, 2008) Bayesian statistics in other labs Machine Learning and
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Bayesian optimization and other active learning techniques to guide experimental efforts by identifying optimal chemical compositions and processing conditions of membranes that maximize both selectivity and
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be inferred from models that are incomplete and data that involve errors. For such challenges, Bayesian analysis using Markov Chain Monte Carlo (MCMC) has become the gold standard. For addressing high
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conservation, using participatory modelling approaches (e.g. Causal Loop Diagrams, Bayesian Belief Networks) that bring together diverse knowledge systems. Co-create locally meaningful scenarios of coastal