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in Physics, Mathematics, Computer Science or a closely related field, ideally with a strong focus on quantum computing and numerical simulations. • Experience in data-reuploading quantum algorithms
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quantum algorithms, optical quantum computing and quantum machine learning (highly desirable). • Experience in machine-learning schemes based on arrays of nonlinearly interacting mechanical oscillators
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) contractual employment is expected to be filled as of October 1st, 2026. This professorship position is regulated by § 98 of the 2002 Universities Act (UG), and has been allocated in TU Wien’s development plan
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Description The world is changing at an ever-faster pace. At the Johannes Kepler University Linz, we work on technologies and the ideas of tomorrow on a daily basis. At the same time, we educate over 25,500
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and international research projects. Software and algorithm development within the scope of research activities. Writing a dissertation and scientific publications. All members of the permanent staff
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should focus on one or several of the following or related research areas: High-Throughput Sequencing Algorithms and Applications, Computational RNA Biology and Regulatory Genomics, Analysis and Modeling
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electromagnetics - excellent knowledge in the field of magnetic material characterization (Epstein frame and rotational single sheet tester) - Interest in algorithm development and interest to work in programming
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, reliability, robustness and integrity, using a wide variety of filter algorithms, has in the past led to the development of navigation systems for a wide range of autonomous applications (e.g. autonomous
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Machine Learning ” within the research group “ Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial
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Machine Learning ” within the research group “Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial