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(postdoc) Limited contract until: 31.12.2029 Job ID: 5198 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re
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using machine learning and state-of-the-art DFT and DFPT code-packages. The project will be performed in close collaboration with various research groups in the UK and USA. Research and performing
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important for the Tenure Track position, such as Machine Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and other relevant areas. Additionally
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looking for a dedicated PhD student to join our team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In
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Immunology, Bioinformatics of Microbes and Microbiomes, Computational Pathology, Machine Learning/Deep Learning in Bioinformatic Data Analysis, Bioinformatics in Clinical Applications. The professorship will
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facilitate active scientific exchange and foster a good atmosphere, and therefore play a big role in our team. Learn more about us here: https://swa.cs.univie.ac.at/ Your future tasks: You actively participate
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: DC7: Machine-learning-guided enzyme engineering for improved activity of enzymes to produce biopolymer precursors. DC9: Machine learning-guided enzyme engineering for improved lactone production
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science, preferably artificial intelligence, in research and teaching, and who complements and diversifies existing research strengths of the department. The new professor will teach in the Bachelor’s, Master's, and
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Immunology, Bioinformatics of Microbes and Microbiomes, Computational Pathology, Machine Learning/Deep Learning in Bioinformatic Data Analysis, Bioinformatics in Clinical Applications. The professorship will
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the opportunity to also contribute to our well-established collaboration with the Faculty of Electrical Engineering and Information Technology. Applications such as Machine Learning are driving up computational