10 web-programmer-developer-"https:"-"UCL"-"U"-"P"-"St" "https:" "https:" "https:" "https:" "https:" PhD positions at University of Vienna
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Teaching duties why the original time plan needs to be extended (e.g. personal circumstances, care duties, problems with lab equipment, COVID-related issues, etc.) The VDSP office will forward your
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foundations, quantum information theory, and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching
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. This position will be part of the Environmental Psychology research group (see https://env-psy.univie.ac.at/about-us/) and will be supervised by Profs Sabine Pahl and Alexandra Brausmann (environmental economics
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. For additional information, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching and administration. This means: • You are involved in a well-funded
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scientists (Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your
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on our website: https://cosmology.univie.ac.at . As a team, we understand the importance of a positive, inclusive, and respectful working environment, and we regularly exchange ideas about current topics
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measure gravity of microscopic systems?”. Such questions and their implications for the foundations of physics are the driving force behind our research. You will be part of our team and develop new ideas
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? Such questions are the driving force behind our research. You will be part of our team and develop new ideas, technologies and experiments. Your personal sphere of influence: As university assistant (PraeDoc
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the way of living as a scientist with experimental focus? Do you want to contribute to pushing the boundaries of scientific knowledge? Are you a team player who loves to discuss science and to develop
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research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and