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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 2 months ago
an interdisciplinary innovation network and an outstanding hub for science and technology. Together with its renowned partners, BTU forms the Lausitz Science Network – an alliance of research institutions working
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data using descriptive statistics, visualization, mapping, and advanced statistical methods including Bayesian hierarchical regression, advanced difference-in-difference techniques for causal inference
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European Molecular Biology Laboratory (EMBL) | Brandenburg an der Havel, Brandenburg | Germany | about 2 months ago
modelling, foundation models, cross-domain/-modality learning, explainable AI and mechanistic interpretability, representation learning, Bayesian inference, causal inference, active learning, AI-based agents
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Qualifications Expertise and interests in artificial intelligence, machine learning, big data and network analysis, computational and Bayesian methods. Experience, desire, and flexibility to teach a range of
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Research Engineer/Postdoctoral Position Decision and Bayesian Computation (DBC) – Epiméthée (EPI) Laboratory Institut Pasteur, Paris | 25 rue du Docteur Roux, 75015 Paris Position Overview We
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in AI (machine learning, neural networks, reinforcement learning, dynamic modelling and/or Bayesian inference). You have experience in software development with solid knowledge of one or more
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including, but not limited to, Dynamical Systems, Bifurcation Analysis, Complex Networks, Optimization, Mathematical Biology, Biostatistics, Mathematical Epidemiology, Computational Biology, Bioinformatics, P
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leaders in multidisciplinary research teams within the institution and in national and international research networks, as well as pursue independent and collaborative methodological research in
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., Dunson, D.B., Vehtari, A., & Rubin, D.B. (2013). Bayesian Data Analysis (3rd ed.). Chapman and Hall/CRC. https://doi.org/10.1201/b16018 Does thalamic control of entorhinal cortex contribute to circuit
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, and engagement with emerging technologies and societal needs in areas such as: Advanced transportation systems modeling and simulation that could involve integrated machine learning and network