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to the use and design of screen interfaces. A curious mind and solid skills in critical thinking and problem solving. Knowledge and experience of methods of visual studies, including data collection, analysis
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of this unusual Brain-Computer Interface. More information: (7) BRAINET: Overview | LinkedIn The doctoral candidate at Tampere University will develop tools and methods to assess the effects of the non-invasive
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microelectronic hardware. Preclinical in-vitro and in-vivo testing of devices and methods will allow real world validation of this unusual Brain-Computer Interface. More information: (7) BRAINET: Overview
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interfaces by decoding EEG signals into continuous latent representations for fine-grained control of 3D human motion. Your role will involve advancing neural signal processing and AI models to enable mind