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Field
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materials characterization Strong background in computational materials science and machine learning applications Proficiency in programming and data analysis languages (LabVIEW, Python, MatLab, OriginPro
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focused on the theory and applications of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and
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close to completion of a PhD in a relevant field such as data science, AI, computer science, remote sensing, machine learning, electronics, embedded systems, aerospace engineering, Earth system
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-spectrometric data using statistical and/or machine learning methods. Experience with software development for hardware control, data acquisition, and data analysis in commonly used languages including
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science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social
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Development of closed-loop ultrasound neuromodulation systems Design of custom hardware and software Electrophysiology and multimodal neurophysiology Rodent and large-animal neuroscience experiments
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implement communication primitives and algorithms optimised for machine learning training and inference workloads, supporting communication initiated by both host applications and accelerator device