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what you are going to do Design and build flow setups using 3D printer, pumps, valves operated by a computer and the corresponding software Develop flow cells to connect various spectroscopic tools
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challenging real-world tasks, such as smart prosthetics or brain-computer interfaces. We are looking for someone with a background in either machine learning or computational modelling and strong interest in
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for the program with expertise in (but not limited to) AI in medicine, biomedical electronics, medical robotics, sensors, instrumentation, brain-computer interface, intra-body communications, and medical imaging
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machine learning. The ideal candidate would conduct highly collaborative dry lab research in areas of focus aligned with strengths in CAPS, the Department of Neuroscience, and the growing computational
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development, and machine learning. The ideal candidate would conduct highly collaborative dry lab research in areas of focus aligned with departmental strengths in learning and memory, decision making, motor
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pipelines for MRI data analysis. This position is situated at the Djavad Mowafaghian Centre for Brain Health (DMCBH) - UBC Point Grey campus, the traditional, unceded, ancestral territory of the Musqueam
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). Experience with conducting human-subjects experiments, especially involving neuroscience, biomechanics, human-computer interaction, or brain-machine interfaces. Experience with dynamic modeling, including
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, to study how machine learning models and neural circuits in the brain process states of emotion. The Nair group combines cutting-edge experimental tools with the development of new AI methods to understand
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Nair, to study how machine learning models and neural circuits in the brain process states of emotion. The Nair group combines cutting-edge systems neuroscience tools with the development of new AI
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programme. This role offers an exciting opportunity to contribute to cutting-edge work at the interface of neuro-oncology, nanomedicine, and translational cancer research, within a programme with clear