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» Cultural anthropology Sociology » Social shaping of technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 11 Sep 2026 - 23:59 (Europe/Berlin) Country Germany
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mantle in order to determine if this composition is the same as that of the nebula or the solar wind material. In the project we investigate the degassing processes of magmas experimentally and numerically
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benchmarking and performance analysis against state-of-the-art studies Perform numerical modeling and validation of brain-inspired and neuromorphic algorithms Design, set up, and operate experimental systems
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Infrastructure? No Offer Description PhD position in Modeling and Control of Nonlinear Dynamical Systems from Data The Chair in Nonlinear Dynamics at ETH Zürich is inviting applications for a 100% PhD position in
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(DACM) Research Field Engineering » Thermal engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Sep 2026 - 23:59 (Europe/Paris) Country France Type
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
analysis). Drawing inspiration from this, the main idea if this PhD is to explore potentially two research directions. A first direction concerns the use of sensors along one modular leg of the RPC-JaM
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-temporal detail. The work will involve experimental implementation, optical setup development, numerical data analysis, and modeling. Requirements: Applicants must hold a Master’s or Diploma degree in
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Applied Physics, Electrical Engineering or a closely related field. Demonstrable skills in numerical modeling, simulation, and data analysis. A solid understanding of Physics, Optics, Electron Optics, MEMS
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related to staff position within a Research Infrastructure? No Offer Description PhD Position in NCCR Genesis: On the rise of molecular complexity at the Origin of Life Open PhD position in NCCR Genesis
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traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel