150 computer-programmer-"St"-"FEMTO-ST"-"UCL"-"St" positions at University of Vienna in Austria
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systems, business administration and/or economics, computer science or a related field. Experience performing and publishing academic research at peer-reviewed conferences and journals is a plus. You are an
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
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open data, open materials, and preregistration. Applicants are asked to describe how they have implemented these principles in their previous research and how they plan to promote them in the future
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enrolment in the doctoral programme/having passed the FÖP Via our job portal/ Apply now - button If you have any questions, please contact: Daniela Hohenwarter-Mayr daniela.hohenwarter-mayr@univie.ac.at We
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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 Tenure Track
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program in Intercultural Philosophy of Religion and of the Research Center “Religion and Transformation in Contemporary Society”. Active participation in the “Vienna Doctoral School of Theology and Research
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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 therefore also involved in
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing
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reconstitute complex biological systems across different scales. Candidates should have a proven track record in biology, biophysics, or computational science. Your research proposal should be original and
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exceptional precision. The candidate's project will focus on analytical metabolomics for (sub)cellular analysis. The method-oriented research plan supports cutting-edge biotechnology on synthetic organelles