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15 Sep 2025 Job Information Organisation/Company Seed Robotics Research Field Computer science » Cybernetics Computer science » Programming Computer science » Systems design Engineering » Control
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that are not present [Liu24,Liu25]. In a safety-critical domain, reducing hallucinations and improving robustness and trustworthiness are essential. This PhD targets principled ways to detect, analyze, and
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. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize
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the junior research group Robotic-assisted Discovery of Antiinfectives of Dr. Luzia Gyr: https://www.leibniz-hki.de/de/robotikgestuetzte-entdeckung-von-antiinfektiva.html# we are working towards both combating
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
of Thulium fs lasers. You will also be a co-supervisor of postdocs and PhD students working on the project. We therefore require you to have strong experimental qualifications within fiber optics, fiber lasers
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The Department of Electrical & Computer Engineering (ECE) at The University of Alabama is recruiting motivated PhD students to join our cutting-edge research program.Qualified applicants can
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About the Opportunity This job seeks a research assistant to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: 1
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Center on AI for Decisions and Trust). Eligibility criteria PhD in Cybernetics, Control Engineering, Robotics, Computer Science, Statistics or related field. Demonstrated experience in research and/or
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23 Oct 2025 Job Information Organisation/Company Universidade de Coimbra Department SGRH - DRGC Research Field Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems