67 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Austria
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including time plan for doctoral thesis milestones that will be achieved in the duration of the short-term contract academic curriculum vitae including list of publications and conference attendances a
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and Teacher Education programmes. The Department of English and American Studies at the University of Vienna wishes to appoint a university assistant (at predoctoral level) in the area of British
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research, teaching and administration, which means: • You will develop an independent research profile in the field of sports medicine, performance physiology and prevention. • You will participate in
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Research at the Medical University of Vienna. Within this research cluster all expertise and state-of- the-art facilities are available to develop next generation anticancer therapeutics. The position is
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articles / presentations Participation in the development of a media platform for political theory Participation in organizing workshops, conferences, and symposia Project applications and acquisition
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analysis. You publish internationally and give lectures. You apply for projects and raise third-party funds. You prepare and complete a publication-ready habilitation. You hold courses independently within
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personal development. Your personal sphere of influence: As a university assistant prae doc, you will join the research team led by Univ.-Prof. MMag. Dr. Michaela Windisch-Graetz in the field of labor and
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including time plan for doctoral thesis milestones that will be achieved in the duration of the short-term contract academic curriculum vitae including list of publications and conference attendances a
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limited to five years. Your future tasks: Active participation in research, teaching & administration, which means: You develop an independent research profile. You are involved in research projects and
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Machine Learning ” within the research group “ Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial