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Research Responsibilities Conduct original PhD research on shared and remote robotic control under uncertain communication conditions, integrating passivity-based control, machine learning, and human
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fellowship period of 3 years. The main purpose of the fellowship is research training leading to the successful completion of a PhD degree. The applicant must, in collaboration with her/his supervisor, within
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. MPhil, Research Master’s degree or Master's degree in Operations Research, Econometrics or Mathematics is preferred. Candidates with an MSc or MA degree are required to successfully complete 1 year of
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master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Specialization should be in Materials Science and engineering or related subjects
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challenges in ensuring the resilience of AI in critical infrastructure. The main challenges are: a) Dynamic environments: Real-world conditions are unpredictable. Environmental factors and cyberattacks can
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are looking for a motivated and ambitious PhD student, ideally with prior experience with additive manufacturing, solid mechanics, and architected materials. Your primary responsibilities will include: Digital
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by the Kate Edger Foundation. The main purpose of the Award is to assist a woman graduate who has completed a minimum of three years of full-time study or six years of part-time study towards a PhD or
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principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion phenomena and link speciation with spectroscopic signatures. Formal requirements include a Master's degree in
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supporting physical interpretation of the measured processes. While the primary focus of the PhD is experimental, the student will gain experience working at the interface of experiment and high-fidelity
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the 1970s to the present. Your main duties and responsibilities include: developing an independent research plan based on the general framework of the PhD position and in alignment with the broader Vidi