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Your Job: Healthy brain function relies on dynamic changes at the synapse. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and
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will build an experimental and computational platform based on 3D-printed, brain-mimetic tissue models with tunable transport properties, where interface transport can be measured and predicted
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
: The scholarship holder will acquire electrophysiological data (EEG; ECG; EMG) from healthy and/or stroke patients, involving brain-computer interfacing with VR training in a lab and in a clinical environment
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on building “bicycles for the mind”, algorithms that enhance (rather than automate) human capabilities. The Machine Learning Researcher serves as a computational scientist and technical lead, supporting
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candidates will be required to fund the difference between the home fees and international fees. Overview Are you interested in developing Brain-Computer Interface technologies to control brain stimulation in
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. ESAT of KU Leuven (Belgium) in the frame of a project on 'natural' brain-computer interfaces (BCI) where we aim to identify the temporal encoding of realistic video footage in electroencephalography (EEG
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, TensorFlow) Mindset Curious, self-motivated, and eager to learn across disciplines. Comfortable working at the interface of wet lab and computation. Collaborative team player with strong communication skills
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Research theme: Computational Electrocatalysis How to apply:uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded, and home students are eligible to apply. The successful candidate will
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems
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, and scalable computing platforms. The research aims to develop CMOS interface circuits and system architectures that tightly integrate with spintronic devices for applications including in-memory