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candidate with a MSc degree (or equivalent) in neuroscience or a related discipline; or an MSc degree in a quantitative discipline (e.g. physics/biophysics, mathematics, engineering) with strong interest and
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of spatiotemporal data is a fundamental problem in multiple domains such as neuroscience, epidemiology, climate science and pollution monitoring. Developing representation learning methods for spatiotemporal data
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, Brain Machine Interfaces, Computational Neuroscience Desired qualifications: Biomedical laboratory experience Experimental design Sensor fusion Machine learning Control system development Biomedical
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