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hardware accelerators, or quantum information science. Responsibilities and Qualifications Your primary responsibilities will be centered around the fabrication and characterization of TFLN/TFLT PICs
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dynamic metabolic processes within microfluidic systems. Integrate microfluidic platforms with NMR hardware, including fluidics interfacing, probe adaptation, and spectral acquisition optimization. Analyze
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demonstrate: Experience with optical spectroscopy, and ideally with terahertz technology. Experience with hardware control using Matlab, Python, or similar tools. Experience with machine learning algorithms and
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into energy and battery management systems. • Collaborate with industrial partners on validation through hardware-in-the-loop testing and real-world demonstrations. • Contribute technical evidence for
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and maintenance prediction and integrate analytics into energy and battery management systems. • Collaborate with industrial partners on validation through hardware-in-the-loop testing and real-world
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-, semiconducting-, and superconducting quantum hardware. Your work will span across materials, sub-component, and system levels modelling to build a powerful feedback loop where experimental results continuously