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Organisation Job description Postdoctoral position: ManufActuring contRol Sonicare (MARS) Due to the complexity of the assembly process anomalies can occur, that lead to unplanned downtime and sub
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Your Job: Develop techniques to simulate, control, and optimize the time-dependent dynamics for increasing system complexities Implement and optimize small quantum circuits on super- and semi
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible
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Vacancies PostDoc Fellowship: Real-time ultrasound-based control of bionic legs Key takeaways Our mission is to enable intuitive control of powered ankle prostheses for amputees through real-time
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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://ore.ucc.ie/ Queries relating to the online application process should be referred to recruitment@ucc.ie quoting the job-title and project name. Candidates should apply, in confidence, before 12 noon (Irish
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the lead of Prof Daniela Ferreira conducts research using controlled human challenge models to better understand mucosal immunity to respiratory pathogens and inform vaccine development. This position is
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attention will be given to developing robust electromechanical, sensing, and control solutions capable of operating safely in electrically harsh environments, as part of the Robots4Green EUDP project