493 fully-funded-phd-program-computer-science-"IMPRS-ML"-"IMPRS-ML" positions in Austria
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-party funds. teach courses in the master's programme "Philosophy and Economics" (within the scope of the provisions of the collective bargaining agreement). participate in examination activities
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Programme, which offers dedicated skill developments as well as training sessions, collaborative work on shared research topics, and active exchange among students and experts. The programme is designed
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agreement has been signed Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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signed Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Start date
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description With around 6.500 employees and
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Doctoral/PhD degree in astronomy/astrophysics with affinity for programming, or in computer science/applied mathematics with affinity for astronomy/astrophysics. • You can demonstrate excellent abilities
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Research Framework Programme? Not funded by a EU programme Reference Number 5110 / 2025 / 8747 Is the Job related to staff position within a Research Infrastructure? No Offer Description Your
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raise third-party funds. teach courses in the master's programme "Philosophy and Economics" (within the scope of the provisions of the collective bargaining agreement). participate in examination
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relevant. Your academic profile: Doctoral degree/PhD Outstanding research achievements, excellent publication and funding record, international reputation Proven leadership qualities Gender and diversity
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perspective. The Faculty of Business, Economics and Statistics at the University of Vienna invites applications for a Tenure-Track Professorship in Computational Statistics and Data Analysis 37 Faculty