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soon as possible in the department Design History and Theory. Applicants should have: · MA in design theory or related subject · PhD in design theory or related field · Proven knowledge
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already has experience with modern methods of convex and nonsmooth analysis and optimization, as well as the theory of monotonic operators, and is able to actively participate in research projects in
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at the boundaries of machine learning, graph theory, and algorithmics. Your future tasks: You actively participate in research, teaching & administration, which means: You are involved in research projects in
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of influence: Your future place is at the Department of Political Science in the research area of Political Theory. The Department of Political Science, a subunit of the Faculty of Social Sciences, addresses all
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weekly contact hours per semester) across different curricula, primarily in the areas of music history, theory/analysis and aesthetics (language of instruction: German) Supervision of academic theses (BA
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learning methodology, electronic structure theory, and molecular dynamics methodology to simulate ultrafast chemical dynamics at surfaces and in materials. Your personal sphere of influence: As a university
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learning methodology, electronic structure theory, and molecular dynamics methodology to simulate ultrafast chemical dynamics at surfaces and in materials. Your personal sphere of influence: As a university
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Austrian Academy of Sciences, The Institut for Quantenoptik und Quanteninformation Vienna IQOQIVIE | Austria | 3 months ago
) (Teilzeit) (Vor Ort & Home-Office) in the Quantum Foundations and Quantum Information Theory research group led by Prof. Caslav Brukner. The Brukner group’s research interest focuses to gain insight
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Responsibilities Writing a dissertation in the field of Educational Theory and School Research Collaboration in the university research focus area „Heterogeneity and Cohesion“ Contribution to research projects with
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, including bachelor and master theses Participation in teaching of the institute’s courses and administrative tasks; including machine learning basics and statistical learning theory Active contribution