20 process-engineering "https:" "https:" "https:" "https:" "https:" "UCL" PhD scholarships in Austria
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across Europe. The tenure-track position is embedded in an active and stimulating research environment at the University of Vienna. Located in the Department of Functional and Evolutionary Ecology ( https
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, Mathematics, Biomedical physics, Neuropathology, Biomedical engineering, Nuclear Medicine.Your area of responsibility•Produce a high-quality scientific thesis, to be openly accessible at university websites
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Forschungsgruppe unter: https://martinpawelczyk.github.io/ Ihre Aufgaben und Verantwortlichkeiten Entwicklung von Methoden und Werkzeugen des maschinellen Lernens mit besonderem Fokus auf: Data-Centric AI
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AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a specific focus on: Data-Centric AI: Including
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climate at kilometer-scale resolution. We highly value collaboration, teaching and outreach. To learn more about our team, we invite you to visit our website: https://klimadynamik.univie.ac.at
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question: how fast do microorganisms cycle nutrients in soil and which microbes drive it? Your future tasks: You will measure gross soil process rates, from depolymerisation to mineralisation, and link
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responsible AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities Develop machine learning methods and tools with a specific focus on: Data-Centric AI
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intradisciplinary cooperation. https://mathematik.univie.ac.at/en/research/applied-and-computational-partial-differential-equations/ Your academic profile: Doctoral degree/PhD Two years of international research
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. https://theochem.univie.ac.at/ Your academic profile: Doctoral degree/PhD Two years of international research experience during or after doctoral studies Outstanding research achievements, excellent
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Computing. Example topics for the group include how people understand and respond to technological harm, and how organizations can build responsible AI into the innovation process. We use a mixed-methods