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Field
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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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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 opportunity The School of Electrical and
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modelling Experience with hardware-in-the-loop (HIL) emulators such as dSPACE, OPAL-RT, and Speedgoat Experience in power systems and system optimization Knowledge of battery storage technologies and battery
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laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW, or Matlab for instrument control/data processing is required, but you do not
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considerations. Why Join Us This position offers the opportunity to contribute to cutting-edge research in photonics-enabled hardware acceleration for AI and advanced computing. You will work alongside a dynamic
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comfortable working with optics, fluidics, detectors, light sources or related laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW
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of both hardware and software tools for operando characterization under electrochemical conditions, as well as the management and analysis of large experimental datasets. The successful candidate will
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the Research Council of Finland (RCF) consortium project focusing on the development of low-field MRI hardware, sequences, image reconstruction and applications, in the Quantitative MRI research group
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acquisition hardware, wireless communication modules, and user-interface software. • Support signal processing, data analysis, and integration of AI-based analytical tools for automated interpretation
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, yet bosonic dynamics remain difficult to access on near-term quantum hardware. The difficulty is that the relevant Hilbert spaces grow rapidly, the dynamics are non-Gaussian and nonlinear, and the