483 evolution "https:" "https:" "https:" "https:" "https:" "UCL" positions in Austria
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, UCL, and University of Cambridge who have years of experience making ICU data usable for research. What we are looking for MSc in computer science, statistics, or a related quantitative field
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: https://jobs.tuwien.ac.at/Job/262872 Where to apply Website https://jobs.tuwien.ac.at/Job/262872 Requirements Research FieldGeosciences » OtherEducation LevelPhD or equivalent LanguagesGERMANLevelGood
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professorship will be affiliated with the Faculty of Physics at the University of Vienna and integrated into the Gravitational Physics group (https://gravity.univie.ac.at/ ), an active research unit engaged in
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digitisation. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture
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of space photometry and radial velocity exoplanet observations The successful candidate will be part of Dr. Luca Fossati’s research group “Exoplanet characterisation and evolution”. The group’s research work
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(SustainCARE, https://doi.org/10.3030/101220359 ), led by Dr. Yun Liu. SustainCARE brings together heritage science, building physics, advanced modelling, and climate-conscious preservation, offering a unique
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on the development of methods to solve the many-electron Schrödinger equation for fermions and bosons with high accuracy and on the application of these methods to problems in the physics of oxides, semiconductors
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application by 19 March 2026 via our online tool: https://www.donau-uni.ac.at/jobs Your application should include: Cover letter (max. two pages) Curriculum Vitae Degrees and transcripts Letters
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(SustainCARE, https://doi.org/10.3030/101220359 ), led by Dr. Yun Liu. SustainCARE brings together heritage science, building physics, advanced modelling, and climate-conscious preservation, offering a unique
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(e.g., statistical analysis, numerical modeling, optimization) – essential for data interpretation and model development; Background in scattering techniques (SANS/SAXS) and/or data modelling is a plus