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accomplished team! Your personal sphere of influence: The group Intracellular Drug Delivery (Ass. Prof. Dr. U. Lächelt) at the Division of Pharmaceutical Technology and Biopharmaceutics is working on carrier
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the research team around Univ.-Prof. Dr. Philipp Grohs. Our ideal candidate has a strong interest in Applied Mathematics, possesses solid and profound background knowledge in Numerical Analysis, Approximation
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workplace: As a university assistant prae doc, you will complement the team around Assoc. Prof. Dr. Lisa Isola and support teaching and research in the field of Roman Foundations of European Private Law. The
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personal sphere of influence: As a university assistant prae doc, you will complement the research team around Prof. Dr. Nikolaus Forgó and take over tasks such as working in research and administration and
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. Ready to be part of our team? Let’s shape the future together! Your personal sphere of influence: The Institute for Constitutional and Administrative Law (Department Prof. Damjanovic) of the University
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of Vienna, in the team of Univ.-Prof. Dr. Thomas Jaeger. We conduct excellent research and teaching in all areas of European law, with a focus on the substantive law of the internal market. Your future tasks
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Educational Competence Centre Biology (AECC Biology), which is headed by Prof. Andrea Möller. The centre conducts scientific research in the field of teaching and learning of Biology. Through innovative
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and Applications of Algorithms” at the Faculty of Computer Science. The position is limited to six months and is planned to be filled from 01.10.2025. Your future tasks: Participation in research
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accomplished team! Your personal sphere of influence: The "Pharmaceutical Biotechnology" research group (Prof. Dr. Sergey B. Zotchev) within the Department of Pharmaceutical Sciences has a vacancy to replace a
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candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex data