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, engineering, or a closely related discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc7/ DC8: Mechanically Robust Design of Magnesium-Based Thermoelectric Modules Host: German Aerospace
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that combine generative AI, reinforcement learning, and human-in-the-loop learning to enable robots to understand tasks at a semantic level and translate them into robust physical actions. You will join the
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. By integrating artificial intelligence (AI), multi-sensor fusion, and cognitive systems, the research will pioneer robust navigation architectures. These improvements are key to making future transport
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affects the cost and robustness of supply chain visibility; second, to study what actions a focal firm can take within its local sphere of influence to improve its resilience, including the design of its
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 18 days ago
Perform comparative analyses and ensure interpretability, robustness, and generalization of the models Collaborate with interdisciplinary partners for biological validation and methodological development
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aims to develop a robust multi-robot localization framework for dynamic, unstructured, GPS-denied environments. Your tasks You will conduct high quality PhD research with unique possibilities to perform
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, enabling operation at substantially higher power densities, voltages and temperatures. This capability will unlock more compact, efficient and robust electronic and power systems, directly supporting future
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maintain robust hardware–software interfaces for sensors, actuators, and communication systems. You will contribute to system validation, simulation, benchmarking, and performance analysis in clinically
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of Biosciences, Department of Animal and Aquacultural science. The main goal of the project is to identify reliable behavioral and physiological markers that signal good welfare and robust gut–brain health
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at the intersection of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and