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MUJOCO Reinforcement learning for trajectory planning Job Requirements: PhD in Mechanical engineering, Electrical engineering, or related fields Good publication track record Creative mind, with a problem
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trajectory within a highly collaborative and well-resourced environment. Research Areas Sonogenetics — engineering ultrasound-responsive genetic circuits for non-invasive cellular control Mechanotransduction
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations to develop
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Plan - Experimental testing of specimens with different notches, analyzing the resulting fatigue life and fatigue crack trajectory. - Monitoring of experimental tests using a Digital Image Correlation
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. This will involve the design, micro/nano-fabrication, and characterisation of single-photon avalanche diodes, working in the James Watt Nanofabrication Centre (https://www.gla.ac.uk/research/az/jwnc/) and in
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: Accelerating Real World Data-driven Precision Oncology through Data Science and Informatics Excellence in Research: https://cprit.texas.gov/grants-funded/grants/rr230020 · POI-KB: Design and Development
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communication skills in English. Employment and admission to the PhD programme are conditional upon successful completion of the Master's degree and submission of official documentation confirming that the degree
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Not Applicable Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure
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datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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Information fellowship Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BRCM_2026_01 Is the Job related to staff position within