36 parallel-computing-numerical-methods-"https:" Postdoctoral positions at UNIVERSITY OF VIENNA in United Kingdom
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in providing computational methods to improve the representation, retrieval, integration, analysis, visualization, and communication of spatial and spatiotemporal data with a wide range of applications
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from an extensive range of courses free of charge. Benefits: The University of Vienna also offers you numerous benefits, such as a company pension fund, travel allowances, low-cost parking, discounted IT
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basic training. Experience in the application of quantitative research methods and in managing project staff. Basic knowledge of examination and testing procedures in sports medicine. Teaching skills
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skills: excellent knowledge of French; Technical skills: knowledge of linguistic theories; experience with empirical methods, in particular statistics (R); Teaching skills; Interest in third mission
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postdoctoral researcher with an excellent command of demography and its methods, for a period of six years. The candidate's PhD thesis should focus on a topic relevant to the department, such as fertility and
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knowledge of Latin and English is desirable. Additional requirements are: Excellent knowledge in scientific research, writing, and presentation Overview of research methods and discussions relevant
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research statement (1-2 pages) With your Doctoral Degree Via our job portal / Apply now - button (https://jobs.univie.ac.at , reference number 4662) Applicants should arrange two reference letters to be sent
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medieval European history, as well as awareness of current developments in the field. They have experience with interdisciplinary theories and methods and methodologies in late Antique and medieval studies
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, particularly in the compulsory and elective subjects of the curriculum in the field of Roman law - either in the German-language diploma programme or in the English-language programme in International Law
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-relevant media Experience in research management High quality in your own teaching and experience with e-learning IT and method skills (e.g., SPSS) Excellent English skills (C1) Team player with strong