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questions in the field of mathematical automation in numerical analysis or approximation theory. o You implement the developed methods in Lean. o You become an active team member of the "Mathematical Data
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for a dedicated, enthusiastic PhD student in the field of host-microbe interactions. The PhD project will investigate chlamydial symbionts in protists and will involve protist cultivation and infection
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the school: https://doschem.univie.ac.at/ The Organic Synthesis Group of Prof. Maulide at the Faculty of Chemistry is currently seeking a PhD student with research experience in organic chemistry and
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data, stochastic optimization, modern machine learning methods, scalable algorithms for advanced Machine Learning techniques and explainable AI. In teaching, the position will contribute, inter alia
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polynomial processes, rough paths, signature methods, neural S(P)DEs, McKean-Vlaslov equations, stochastic portolio theory, control theory and contemporary stochastic volatility modeling. The successful
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methods from both Mathematics and Physics, complemented by concepts from Theoretical Computer Science. The group is located jointly at the Faculty of Physics – as part of the Quantum Optics, Quantum
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software is also part of your activities. Your future tasks: You actively participate in research, teaching & administration, which means: You will contribute to research projects and scientific studies in
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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
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at the Institute of Physical Chemistry studies structure and dynamics of molecular processes. We apply static and time-resolved vibrational spectroscopic methods. To strengthen our team, we are looking for a PostDoc
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. Visual Data Analysis you will develop methods/tools to enable more effective research, e.g., enabling medical professionals to explore and discover patterns in disease progression and to assess treatment