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proficiency in standard Office software Willingness to publish research and participate in international conferences Excellent written and spoken English skills Analytical way of thinking Desirable additional
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, or a closely related discipline; strong interest in experimental quantum physics, enthusiasm for laboratory research, and solid analytical and problem-solving skills; programming experience (e.g
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Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
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and translational researchers, contributing to projects with tangible clinical relevance for children with cancer and immune disorders. Learn more about the Salzer Group . Your responsibilities Generate
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memory safety, supply chain security and machine learning Independent teaching Student supervision and academic publications Training and professional development Organisational and administrative duties
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, English or another (if unanimously decided). Internal communication is in German. Therefore a basic knowledge of German or the willingness to acquire such knowledge is essential. Work Location(s) Number
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) Limited until: 30.09.2029 Reference no.: 6194 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our
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, information theory, biophysics, and more. Working with us means learning something new every day – all of us, from bachelor student to professor. Your future tasks: You will actively participate in research
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knowledge of German or the willingness to acquire such knowledge is essential. Work Location(s) Number of offers available1Company/InstituteDepartment of Banking and FinanceCountryAustriaCityInnsbruckPostal
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applicable, English) and contribute to commentaries on legislation Teaching and involvement in innovative courses: You will teach tax law independently and assist in delivering courses Participation in