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Field
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includes embedded and sensing systems, tinyML, data science, AI and software development. Responsibilities encompass active involvement in the ProSensing project's development activities, such as AI on Edge
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | about 2 hours ago
seconds in vivo, including acquisition, processing, and diagnostics. The post-doctoral fellow will work in close collaboration with an embedded systems engineer developing the software and electronics
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highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
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compliance with EV charging communication protocols (e.g., ISO 15118, DIN 70121). Conduct EMI noise analysis and mitigation for high-power DC charging systems. Develop and troubleshoot embedded hardware and
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electrical systems and power electronics systems is an advantage. Hands-on experience with embedded systems, microcontrollers, and software development is an advantage. Passion for applied research, problem
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Within CCDS, this project will be conducted in the Hardware and Embedded Systems Laboratory (HESL). This lab aims
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and thermal-aware design techniques for embedded systems. Contribute to research outputs and support timely completion of project milestones. Job Requirements: Preferably PhD in Computer Engineering
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the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired. Special Instructions Contact
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Australian National University | Canberra, Australian Capital Territory | Australia | about 22 hours ago
University is seeking to appoint a Postdoctoral Fellow/Research Fellow in User Experience Design (0.5 FTE) and/or Web Development (0.5 FTE). The position can be offered as one full-time role or two part-time
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decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution