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ability to contribute to more than one work package, this is counted as a positive. ● Area1 - Lie Theory: Analysis and Geometry of Nonholonomic Systems Areas of Research: Sub-Riemannian geometry and Cartan
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will need an excellent grasp of social psychological theory, strong quantitative research skills, and brilliant academic writing skills. Ideally, you will have experience of interdisciplinary research
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positive. ● Area1 - Lie Theory: Analysis and Geometry of Nonholonomic Systems Areas of Research: Sub-Riemannian geometry and Cartan geometry, Vector Distributions and Supergeometry Considered an advantage
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knowledge of relevant social science theories and methods necessary to carry out the proposed PhD project. Admission to the faculty’s PhD programme is a prerequisite. See admission requirements: PhD in Social
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be considered on an individual basis. Candidates must demonstrate solid knowledge of relevant social science theories and methods necessary to carry out the proposed PhD project. Admission
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for wireless communication systems, including modulation and coding techniques on the physical layer of a radio, array antennas and their use in multiple input multiple output (MIMO) wireless connectivity. Very
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Max Planck Institute for the Study of Religious and Ethnic Diversity, Göttingen | Gottingen, Niedersachsen | Germany | 11 days ago
Job Code: PIC20251126 Job Offer from November 26, 2025 TheMax Planck Institute for the Study of Religious and Ethnic Diversity studies central social science questions such as social and political
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. Candidates must demonstrate solid knowledge of relevant social science theories and methods necessary to carry out the proposed PhD project. Admission to the faculty’s PhD programme is a prerequisite. See
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the humanities or other relevant fields may be considered on an individual basis. Candidates must demonstrate solid knowledge of relevant social science theories and methods necessary to carry out the proposed PhD
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modern control theory (PID, adaptive, robust, and fractional control); Experience with fuzzy logic and AI-based control (reinforcement learning, neuro-fuzzy systems); Skills in modelling and simulation