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systems with a focus on optimal filtering (Bayesian filters, e.g., Kalman/particle filters) in the context of indoor/outdoor navigation as well as in the application areas of autonomous platforms and
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the Universities of Vienna and Innsbruck as well as the IST Austria. Two PhD students will be working on cosmological inference using simulations with Oliver Hahn, and one PhD student will be working with Sylvia
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Neural Networks (PINNs), Neural ODEs, Bayesian learning, and system modeling and simulation Strong background in numerical methods and machine learning Good programming skills, preferably in Python
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Scheduling Optimization of LLM Training and Inference Our working language is English. Learning German is encouraged and supported. Additional Information Benefits What we offer: Work-life balance: Our
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: Parallel Computing Cloud Computing Performance Analysis and Optimization Communication Technologies for Supercomputers Workload Management and Scheduling Optimization of LLM Training and Inference Our
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, pretreatment chemistry, palaeoproteomics and the Bayesian modeling of radiocarbon dates will be given, but prior experience would be an advantage We expect you to finalize your dissertation agreement within 12
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radiocarbon dating and its application to archaeology, pretreatment chemistry, palaeoproteomics and the Bayesian modeling of radiocarbon dates will be given, but prior experience would be an advantage We expect
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chemistry, palaeoproteomics and the Bayesian modeling of radiocarbon dates will be given, but prior experience would be an advantage We expect you to finalize your dissertation agreement within 12-18 months
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, pretreatment chemistry, palaeoproteomics and the Bayesian modeling of radiocarbon dates will be given, but prior experience would be an advantage We expect you to finalize your dissertation agreement within 12
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detailed dynamical models of galaxies and stellar clusters to infer the distribution of luminous and dark matter as well as to uncover the formation history of these stellar systems. Ready to be part of our