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constantly being ranked among the top of all universities in the German-speaking world, and belonging to the finest in their field internationally - emblematic of the continuous aspiration to add valuable
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intelligence, and high-performance computing to study metabolic networks and optimize microbes for biotechnological applications. The PhD project aims to predict the optimal compartmentalization of a production
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small topical groups. The Doctoral School Computer Science provides the option of performance-based contract extensions (up to 6 months) to doctoral students who previously had a position as university
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well as applied research within an intensive doctoral teaching programme tailored to the scientific needs of students in small topical groups. The Doctoral School Computer Science provides the option of performance
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application on high-performance computers are preferred. Furthermore, collaboration with experimental and other theoretical groups in Vienna is desirable. Candidates should also actively contribute to and
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-state mass spectroscopy, isotope geochemistry labs, X-ray diffraction and mineral spectroscopy are available within the faculty, and the successful candidate would also have access to high performance
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of lectures/courses as part of a team is required. An excellent command of both German and English is required, knowledge of other foreign languages is an advantage. The employment duration is 4 years
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Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning of electronic structure and computational materials discovery. In this role you will be performing
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the cathedral’s sculptural embellishment from the 13th and 15th centuries in relation to its architectural setting, use, and function within performative and spatial contexts, as an evolving, accumulative ensemble
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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 date of the contract is negotiable