102 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"U" positions at UNIVERSITY OF VIENNA
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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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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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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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and research with the existing professorial positions of both institutions. Active cooperation in teaching within the bachelor and master programs “Nutritional Sciences” is required as
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. Experience with third‐ party funding acquisition is expected. The successful applicant will contribute to teaching and supervision in the degree programs in all levels. Your academic profile: Doctoral degree
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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 research component and a teaching component. In terms of research, you will be expected to: Develop and implement a coherent and original programme of high-quality empirical research commensurate
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on analytical metabolomics for (sub)cellular analysis. The method-oriented research plan supports cutting-edge biotechnology on synthetic organelles and new-to-nature pathway design to maximize nutrient and