601 machine-learning "https:" "https:" "https:" "https:" "https:" "The Francis Crick Institute" positions in Austria
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the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in the area of the FWF
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duration of the PhD thesis work. For detailed information on the application process, available research topics, and eligibility requirements, please visit our website: https://biotop.boku.ac.at Deadline
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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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Austrian Academy of Sciences, the Institute for Habsburg and Balkan Studies (IHB) | Austria | 11 days ago
order to provide appropriate workplace structures, in particular for persons with disabilities. Where to apply Website https://oeawnr.onlyfy.jobs/application/apply/3yf1vzzsz2dkyla18sulp7wqs0ii5gu
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institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching, and learning dedicated
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Politics and Social Policy Entry date: 05/08/2026 Job Reference Number: 22900-2026-001859 Job Duties: Conduct independent research in political science and pursue a doctoral project Teach in the institute's
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the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists
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actively participate in project events. Support the project team in applying for a European Cooperation in Science and Technology (COST, https://www.cost.eu/ ) with the option to participate in the network
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skills, including proficiency in statistics, scientific programming, and/or modelling. We especially welcome candidates interested in applying AI and machine learning to analyse heritage datasets
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statistics, scientific programming, and/or modelling. We especially welcome candidates interested in applying AI and machine learning to analyse heritage datasets. What we offer: • A stimulating