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qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar Knowledge in at least one area
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, limited to 4 years at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant The Faculty
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Healthy Lifespan,” “Computational Life Sciences,” and “Innovation in Drug Research.” The tenure-track professorship will be located at the intersection of these areas and will contribute bioinformatic
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disciplines with faculties at the University of Vienna, including the Faculty of Computer Science, which is closely related to interactive communication. https://publizistik.univie.ac.at/en/research/ Your
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Philosophy of law, Legal theory, Ethics, International law, European law, Comparative constitutional and Administrative law Basic experience in academic writing and with research methods Very good computer
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of Physics. Your future tasks: Conducting instructional teaching in the experimental physics core modules, particularly in the laboratory courses of the Bachelor`s programme in Physics and the Bachelor's
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simulation and computational materials discovery. About the team: Fuel cells, photovoltaic devices, photocatalytic converters – they all are crucial elements in delivering decarbonization and sustainable
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skills Good computer skills Excellent command of written and spoken English Team player with high social/communicative competence Flexibility and commitment What we offer Work-life balance You have
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scientific peers, but also to connect with other bachelor’s, master’s or PhD students. Your qualifications as an Ingenious Partner: You are studying in the field of: Computer Science, Informatics, IT-Security
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programme/having passed the FÖP Via our job portal/ Apply now - button If you have any questions, please contact: Oliver Fabel oliver.fabel@univie.ac.at We look forward to new personalities in our team