64 data-"https:" "https:" "https:" "https:" "https:" "https:" positions at UNIVERSITY OF VIENNA in United Kingdom
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, the Division has a strong complementary background on using local scale community data such as vegetation plot data (e.g. EVA, https://euroveg.org/eva-database and ReSurveyEurope, https://euroveg.org/resurvey
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understand our world. Does this sound like you? Then join our accomplished team! Your working area: The Oskar Morgenstern Doctoral School (OMDS) (https://oskar-morgenstern-doctoral-school.univie.ac.at
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understand our world. Does this sound like you? Then join our accomplished team! Your working area: The Oskar Morgenstern Doctoral School (OMDS) (https://oskar-morgenstern-doctoral-school.univie.ac.at
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and ultimately soil health, by combining stable isotope pool dilution assays with measurements of microbial community activity, generating the process-rate data that sits at the heart of the project
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areas of academic research here: https://lit-ktf.univie.ac.at Your future tasks: You will actively participate in research, teaching, and administration, which means: Preparing a dissertation in our
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join our accomplished team! Your working area: The research group Statistical Analysis and Inference (STAIN) (https://stain.univie.ac.at/ ) at the Department of Statistics and Operations Research (https
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. B1 Grundstufe (praedoc) Limited until: 31.10.2030 Reference no.: 6201 Are you interested in the study of problems in quantum many-body physics through the lens of quantum information and quantum
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to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 09/15/2026 Reference no.: 6004 Tenure Track Professorships https
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sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI
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that sound like something for you? Welcome to our team! Your personal sphere of play: As a PhD student (PraeDoc) you will work in the Spatial Data Science and GeoCommunication group lead by professor Krzysztof