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complex challenges in economics and business. In addition, the DataScience@Uni Vienna research network offers extensive opportunities for cooperation with researchers from various departments and faculties
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. Representing RCPE in scientific and industrial networks; presenting results to technical and non‑technical stakeholders and supporting business development activities. Requirements Master’s degree in Data
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knowledge acquisition (machine learning), the complexity of learning algorithms, pattern recognition with artificial neural networks, computational geometry and information processing in biological neural
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international research and innovation networks, and it is a key partner for public administration, companies, universities, and research institutions. The Competence Unit Transformation Governance addresses
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for our location in Vienna. Our Center for Innovation Systems & Policy is a think tank in national and international research and innovation networks, and it is a key partner for public administration
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Center for Innovation Systems & Policy is a think tank in national and international research and innovation networks, and it is a key partner for public administration, companies, universities, and
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international research and innovation networks, and it is a key partner for public administration, companies, universities, and research institutions. The Competence Unit Transformation Governance addresses
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, network/system administration, and version control systems. Good-to-haves Hands-on experience with testing, verification, and documentation of the complex software systems involved with telescope
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such as causal inference or machine learning or complex panel data analysis. We are seeking excellent applicants with an international research portfolio and network. The teaching portfolio includes courses
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the network infrastructure needed to connect software and hardware during instrument Assembly, Integration, and Testing (AIT). Introduce industry-standard software practices to our development activities