584 machine-learning "https:" "https:" "https:" "https:" "U.S" "U.S" positions in Austria
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Field
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and machine learning. Internal further training & coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your skills in over 600 courses
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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
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the contract. We are looking for graduates from: Renowned management programs: e.g., M.Sc. in Business or Adjacent disciplines such as economics, psychology, engineering, or computer sciences: e.g., M.Sc. in
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Austrian Academy of Sciences, the Institute for Habsburg and Balkan Studies (IHB) | Austria | 9 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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| Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.03.2030 Reference no.: 5335 Among the many good reasons to want to research and teach
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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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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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corresponding research agenda. Candidates are expected to hold an excellent qualification in empirically oriented research, with a particular focus on teaching and learning contexts relevant to schooling and