21 coding-"https:"-"https:"-"https:" PhD positions at University of Vienna 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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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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sources of greenhouse gases, radionuclides, or air pollutants. To learn more about our team, we invite you to visit our website: https://flexteam.univie.ac.at/ . To learn more about FLEXPART, visit https
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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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Vienna Doctoral School of Microbiology and Environmental Science - Doctoral Positions (AUTUMN CALL 2
communicating your research through publications. The successful candidate will be embedded in the Soil Ecology Group of Andreas Richter ( https://ter.univie.ac.at/richter ) at CeMESS, an
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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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uses inverse modelling techniques to determine sources of greenhouse gases, radionuclides, or air pollutants. To learn more about our team, we invite you to visit our website: https
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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