68 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"Prof"-"U.S" positions at UNIVERSITY OF VIENNA
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in e-learning IT skills, esp. an object-oriented programming language such as C#, Python, or Java Knowledge in: logistics or/and supply chain management or/and transport planning is required Excellent
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computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: Completed doctoral/PhD studies in Computer Science or a closely related field
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applications. In teaching, the applicant will be involved, inter alia, in the education of fundamentals in mathematics in all study programs of the faculty, esp. in the Master program Business Analytics. The
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to the faculty committee of the Doctoral School within one year after coming to Vienna (Faculty public presentation). You independently teach courses in the BA program (proseminar, case study), one course per
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sciences, or related disciplines Strong programming skills (preferably Python and C/C++) Expertise in bioinformatics of networks Proven ability to publish in leading international journals Excellent
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. Your future tasks: Active participation in research, teaching & administration, which means: Independent teaching in the Bachelor and Master programs of the faculty to the extent specified in
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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
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training and in the area of language education. Successful candidates will be part of the team that supervises and develops the Master’s degree programme ‘German as a Foreign and Second Language’ and are
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an innovative perspective on research-led museums studies within the art history program. Your responsibilities include: developing and leading a dynamic research agenda in museum studies; designing and teaching
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, to the mathematical foundations of all study programs at the faculty, particularly within the Bachelor’s and Master’s programs in Statistics and Data Analytics. In addition to the numerous professors at the Department