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. Familiarity with standard design verification (DV) procedures and continuous integration (CI) setups would be beneficial. Knowledge of machine learning workloads and the design of machine-learning accelerators
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• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing
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no.: 4111 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 passionate about groundbreaking international
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34 Faculty of Law Startdate: 15.09.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 14.09.2031 Reference no.: 4336 Explore and teach
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an ideal opportunity to utilize your skills and vast ability learn new physics on these components, build new improved circuits, and finally put them together for millikelvin feedback. This new
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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47 Faculty of Psychology Startdate: 01.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4052 Explore and teach
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no.: 4167 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 passionate about groundbreaking international
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). The successful candidate will work with the wider team in the Struwe Lab, contribute to the development of new research areas, present their research findings at international conferences and learn advanced
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will also be highly valued. An interest and aptitude in learning new procedures and techniques and performing them precisely is essential. Application Process If you have any queries regarding