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. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health, bio-signal processing, and wearable
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Windows and Linux environments, and using the following software: MSOffice, SPSS or R, and Matlab. Experience using SPM, FSL, ANTs, PLS and/or AFNI or similar image analysis software is required. Excellent
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, image processing, medical imaging, databases, web technologies, and application integration using APIs/SDKs are a definite asset. The candidate should have an established track record of publishing in key
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equipment, facilities, space and services . These include a magnetic resonance imaging facility, a cellular imaging team with advanced microscopy instrumentation, customized molecular and genetic tools
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processing, artificial intelligence, cognition and deep learning, machine learning, navigation and mapping, autonomous driving, assistive robotics, drones, dynamics and vibration, acoustics, medical imaging
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. The projects may also include to tackle benchmarking problems such as SAT, image processing, graph theories, boson/fermion sampling by applying classical machine/deep learning, neural network techniques and