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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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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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autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in machine learning, deep learning, or computer vision Experience
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interpretability of intelligent systems in safety-critical domains like autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
, photovoltaics, ultra-high speed optical transmission systems, bio-photonics, acoustics, power electronics, robotics, and autonomous systems. See more on DTU Electro. Technology for people DTU develops technology
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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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crystallography robots, a biophysics suite that includes a Biacore T200, Octet Red 384, ITC, DSC and a plate reader for absorbance and fluorescence assays, Leica EM GP2 and other equipment for cryo-EM grid
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electromagnetic device performance analysis>>>Embedded SystemsResearch focuses on:•Robotics, computer vision, and machine learning/deep learning•Wearable and implantable sensors, biosensors, and tele
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of Coimbra], hereinafter referred to as RRCPADCT, as well as further applicable legislation, for the scientific area of Electrical and Computer Engineering, subarea of Automation and Robotics
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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