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the University of Vienna. Besides scientific activities in developing new and improved computational and measurement methods, research is undertaken in biomedical and preclinical fields, generating innovative
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transdisciplinary teaching and research program. Candidates should have a proven track record in both theory and empirical research in the field of development studies. Experience, particularly in qualitative social
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Motivation (Academic) Curriculum vitae Final Degree certificates (Certificate of completed diploma or master's degree programme) List of publications (if available) evidence of teaching experience
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be enrolled on the Doctoral Programme in Pharmacy at the University of Vienna. Recipients will be employed as university assistants predoctoral at the Department of Pharmaceutical Sciences. At the time
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The University of Vienna is internationally renowned for its excellence in teaching and research, and counts more than 7,500 academics from all disciplines. This breadth of expertise offers unique opportunities to address the complex challenges of modern society, to develop comprehensive new...
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-leading research and teaching in molecular simulation and computational materials discovery. Fuel cells, photovoltaic devices, photocatalytic converters - they all are crucial elements in delivering
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-leading research and teaching in molecular simulation and computational materials discovery. Fuel cells, photovoltaic devices, photocatalytic converters - they all are crucial elements in delivering
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transdisciplinary teaching and research program. Candidates should have a proven track record in both theory and empirical research in the field of development studies. Experience, particularly in qualitative social
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, quantum computing and quantum cybersecurity applications? Can we scale-up multiphoton platforms by using integrated optics, quantum-dot single-photon sources and customized two-dimensional nonlinear
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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