87 structural-engineering "https:" "https:" "https:" "https:" "UCL" "UCL" positions at UNIVERSITY OF VIENNA
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with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from
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of university processes and structures What we offer: Work-life balance: Our employees enjoy felxible working hours, remote work (upon agreement). Inspiring working atmosphere: You are a part of an international
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working in research projects International experience Knowledge of university processes and structures What we offer Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing
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, as well as implementation and further development of Oxford Nanopore technology (ONT) based long read sequencing workflows. Furthermore, implementation and customization of bioinformatics workflows
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. Team player with a hands-on working approach. Strategic and analytical mindset. Ability to structure tasks and set priorities. Desirable skills and experiences Familiarity with academic research
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this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics methodology to simulate ultrafast chemical
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Experience in participating in research projects Didactic skills / experience in e-learning IT skills Knowledge of university processes and structures is desirable Excellent knowledge of English (C1) GFL
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research methodology and present research findings in a structured way Ability to work independently and as part of a team Flexibility, willingness to learn and travel Excellent command of written and spoken
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administrative tasks in research, teaching and administration. This is part of your personality: Completed doctoral/PhD studies in business administration or related topics (e.g. industrial engineering