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• Outstanding PhD in numismatics and monetary history or in a related discipline (ancient history, early modern history, art history or the like) • Excellent publications in the field of ancient numismatics
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, quantitative and mixed-methods approaches. We are now looking for support for these research activities. About the place of work The Child Psychology Center is located on the campus of the Sigmund Freud Private
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, joint publications, dissemination activities, website maintenance etc. Your profile: PhD in medieval history Research experience in the history of the period, preferably on topics relevant for the project
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. For additional information, contact Prof. Hryhoriy Polshyn hryhoriy.polshyn@ist.ac.at About ISTA: The Institute of Science and Technology Austria (ISTA) is a PhD granting research institution dedicated to cutting
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: PhD in astrophysics, solar system science, geosciences or physics. Beneficial to have: Experiences in interpreting ground based and space instrumentation data. Experiences in atmosphere and radiative
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the administrative tasks of the institute evaluation tasks Participation in committees Your ProfileAdmission Requirements PhD in mathematics We Offer Interesting area of responsibility Collegial and friendly working
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handling of exercises, supervision of bachelor and master projects. Potential possibility to teach a master course. Supervision of research projects Your ProfileAdmission Requirements Completed Phd in
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publications. • Contribute to data management. • Collaborate with a multidisciplinary team of researchers across Europe. Requirements: • A PhD in psychology, health psychology, statistics, public health, or a
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analysis. The candidate should have a PhD in experimental particle physics and a solid background in particle physics. Solid programming skills in python are mandatory, and additional expertise in data
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hold a PhD in Physics, Satellite Geodesy, Computer Science or closely related fields Software development and programming expertise (Python and/or C++) Experience in data analysis of large datasets