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of Business, Economics and Statistics at the University of Vienna invites applications for a Tenure-Track Professorship in Computational Statistics and Data Analysis The position We welcome applications from
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students and 19,200 globally in the 2023-24 academic year with cutting-edge programs in Applied Science, Aviation, Business, Technology, Engineering, Safety, Security, and Space. Qualifications Required
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Successful candidates will develop Digital and Computational Methods for Historical Source Analysis and Edition with a focus on the Modern Period. They will work on new developments in computer science and
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research and immunology is preferred. Department Specific Qualifications Education: Masters’ degree or PhD in Computational Biology, Bioinformatics or a related field. Alternatively, the candidate may have
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, and articulate a clear vision for departmental growth, including expanding both student and faculty numbers and developing a PhD program. The Department Chair will be responsible for upholding Embry
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or PhD in meteorology, atmospheric sciences, climate science or related field preferred. Experience in implementing machine learning methods in weather/climate research, analysis of dynamical model (e.g
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to the Faculty Council, Academic Senate and/or other bodies. Qualification Candidates must hold a PhD in Computer Sciences, Computer Engineering or a closely related field, preferably from a well-known
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AI, we’re assembling a world-class founding team at the cutting edge of earth science and machine learning. We’re hiring a Founding Geoscientist to join us at the ground floor. Next-generation
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industry collaboration. What We're Looking For: A PhD in Computer Science, Software Engineering, Information Technology, or a closely related discipline. Proven ability to initiate, develop, and sustain
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that provide interdisciplinary training in the study of Chinese history and culture. Currently, the Department offers PhD and MPhil programmes, a taught-master degree programme, a major degree programme in