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). • Morphological and imaging approaches (e.g., confocal microscopy, electron microscopy, histology, 3D reconstruction). • Comparative and computational evolutionary biology (phylogenomics, orthology inference
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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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: 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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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
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such as jackknife and conformal inference. They will also gain teaching experience in the Department Bachelor's and Master's programs. (Teaching will be governed by the collective bargaining agreement
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empirical social research in sociology such as causal inference or machine learning or complex panel data analysis. We are seeking excellent applicants with an international research portfolio and network