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Field
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. The selected candidate will have an opportunity to work in a research-oriented laboratory equipped with state-of-the-art hardware and software tools, performing cutting-edge research related to digital twin
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& Training, Network Programming (UDP/TCP/ZeroMQ), API Development, CUDA programming, python programming, Hardware Acceleration, strong verbal and written communication skills necessary for writing research
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Research Infrastructure? No Offer Description Full time, fixed term for 12 months Opportunity to advance research in AI Hardware Acceleration Base Salary $93,424 - $125,896 + 17% superannuation About the
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, integration and experimental testing of microwave and antenna hardware. Develop and experimentally demonstrate antenna functions including reconfigurability, shape morphing and two-dimensional beam steering
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interaction, particularly under network constraints. Proficiency in working with hardware such as robot arms and software programming in C++/Python, ROS and MATLAB. Excellent command of English; German
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Assistant to contribute to cutting-edge research in embodied AI and
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forums such as the Inter-Agency Space Debris Coordination Committee (IADC) and standardisation bodies such as ECSS and ISO. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of
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this new hybrid network. Your code will directly enable the next generation of energy-efficient AI clusters. Project scope You will bridge the gap between custom optical hardware and standard AI software
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postdoctoral researcher to contribute to an NIH-funded project focused on developing innovative techniques and hardware for ultrahigh-field magnetic resonance imaging, with an emphasis on ultrahigh-resolution
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the human musculoskeletal system, or experience providing engineering, hardware, statistical, or algorithmic support for such research (e.g., in biomechanics, biomedical signal processing, analysis of data