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instrumental analytical methods and, on the other hand, will deal with the computer-aided analysis and processing of large analytical-chemical data sets. Experience and knowledge of digital teaching and
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. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning
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Biochemical Network Analysis group, led by Jürgen Zanghellini . The team focuses on mathematical modeling, artificial intelligence, and high-performance computing to study metabolic networks and optimize
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to analyze and reconstitute complex biological systems across different scales. Candidates should have a proven track record in biology, biophysics, or computational science. Your research proposal should be
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actively participate in research, teaching & administration, which means: Merging computer science and qualitative and quantitative social science methods, you explore the conceptual data models
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of influence: As a University Assistant (Predoc) you will be part of the Computational Communication Science Lab (CCL), an interdisciplinary research network under the direction of Prof. Dr. Annie Waldherr and
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to the faculty committee of the Doctoral School within one year after coming to Vienna (Faculty public presentation). You independently teach courses in the BA program (proseminar, case study), one course per
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.) that addresses the fit to the position based on previous education and research training ii) CV including full academic record. In the letter, please sketch a doctoral research program This is part of your
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solid foundation for future professional challenges. Your workplace: As a Senior Lecturer, you will be employed in the field of computer-aided and digital teaching in chemistry. The focus of your work
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. Computing time is available on our local cluster and on the Vienna Scientific Cluster (VSC), a supercomputer shared by Austria's major universities. We focus on the development of methods to solve the many