32 computer-science-image-processing Postdoctoral positions at UNIVERSITY OF VIENNA in United Kingdom
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"Mathematical Data Science" research group at the University of Vienna (led by Prof. Dr. Philipp Grohs) and the "Computational Partial Differential Equations" research group at TU Wien (led by Prof. Dr. Michael
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faculty. You participate in research projects and studies. Candidate Profile: You might have a background in computational chemistry, theoretical condensed matter physics, computer science, or a similar
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methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing a crucial role in tackling some of today’s scientific and societal challenges. The candidate will
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from Theoretical Computer Science. The group is located jointly at the Faculty of Physics – as part of the Quantum Optics, Quantum Nanophysics, and Quantum Information Group – and at the Faculty
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Desirable qualifications are: Knowledge of university processes and structures Experience abroad Experience of supervising students What we offer: Work-life balance: Our employees enjoy flexible working hours
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, which means: Developing a third-party funded project to be submitted to a competitive programme (e.g. Marie Curie, FWF individual project, FWF Esprit) Further developing your academic profile through
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to the study and teaching of the language and literature of ancient Greece and Rome, including Late Antiquity, as well as the late, medieval, and Neo-Latin language and literature. At the core of the program is
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abroad Knowledge of university processes and structures Experience of supervising students Organization of academic events and conferences Experience in research project management What we offer: Work-life
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doctoraUPhD studies in Protestant theology, religious studies, philosophy or educational science A keen interest in religious education Willingness to attend and organize (inter)national conferences, to work in
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of social sciences a successful dissertation with a focus on the above-mentioned research areas proven research competence through publications good IT user skills and knowledge of social science analysis