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The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to...
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The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to...
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PhD Program Basic experience in academic writing and profound knowledge enhancer biology, transcriptional regulation and synthetic approaches for studying regulatory genomic landscapes Methodological
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for results. You should already have significant programming experience. Additional knowledge in High-Performance Computing or Machine Learning is an advantage. The start of the contract is the 1st of September
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platforms, computational infrastructure, and a vibrant scientific community. Your future tasks: Conduct research within the AIPN framework, focusing on personalized nutrition, microbiome science, multi‑omics
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personality: Mindset & Soft Skills Highly motivated to pursue research in biomechanics, neuromechanics, and computational modeling. Ability to work independently while contributing effectively within
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research and administration is expected, this implies: Participation in the establishment of the new English-taught Master’s programme “Governing Socio-Ecological Transformations”, which begins on 1 October
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: The conceptual design, structuring, and strategic development of the sports course program at the Schmelz location The needs-based staff scheduling and deployment planning of the academic and instructional
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performance computers of the department. You disseminate your research through high-quality peer-reviewed publications and presentations at conferences. You teach independently within the scope
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or Computer Science • Experience in research management and in leading project staff • IT skills and excellent programming skills • Knowledge of: exact and metaheuristic solution methods in Operations