260 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology"-"https:" positions in Austria
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expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an interdisciplinary innovation environment for research, development, start-ups, and industrial projects. AI:AT
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Governance, or International Relations, to support the development of the University’s new undergraduate program in this area, and to teach undergraduate and graduate courses (see www.modul.ac.at/study
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for a/an University assistant predoctoral 39 Faculty of Computer Science Startdate: 01.04.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5431
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Synergy Grant project SUSTECH – Accelerating Sustainable Technological Trajectories with Computational Chemistry and Machine Learning. Where you will be: The position is hosted by the research group
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, including participation in evaluation measures and quality assurance. What we expect from you: Outstanding records in a doctoral program and strong demonstrated ability or potential for high-quality research
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sequencing etc.) Expertise in at least one lineage of land plants (i.e., a taxonomic focus) Experience with at least one coding language or a strong background in statistics Experience with high-performance
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assistant predoctoral 39 Faculty of Computer Science Job vacancy starting: 01.04.2026 | Working hours: 30.00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: Job ID: 5431
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, numerous and diverse projects address the functioning of soils, plants, microbiomes and their interactions. Your qualifications as an Ingenious Partner: Higher degree (preferably PhD) in Biology
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, including participation in evaluation measures and quality assurance. What we expect from you: Outstanding records in a doctoral program and strong demonstrated ability or potential for high-quality research
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sequencing etc.) Expertise in at least one lineage of land plants (i.e., a taxonomic focus) Experience with at least one coding language or a strong background in statistics Experience with high-performance