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within a Research Infrastructure? No Offer Description Mission: Perform the analysis of electroencephalographic (EEG) signals from transcranial magnetic neurostimulation (TMS) in patients with
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(programming, digital signal processing, modelling, statistics) is sought. The project involves collaboration with Prof. Marco Steinhauser (University of Eichstätt-Ingolstadt, Germany) and Dr. Ramakrishna
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electroencephalographic (EEG) recordings of frequency-tagged steady-state visual evoked potentials (SSVEPs), the project will assess processing of attended and unattended colors in healthy adults performing a feature-based
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-processing of EEG signals. Record and organize neurophysiological information. Perform quantitative characterization of brain events: EEG. Do the statistical analysis of bio-markers and physiological variables
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researchers with ample experience in MEG/EEG data analysis, BCIs, signal processing, deep learning for brain imaging analysis, biomedical statistics, dynamical systems and research on motor control. The lab has
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Variable Hours Officer to support research in computational biomedical signal processing with a focus on epilepsy and tumor-associated epilepsy models. The incumbent will assist with the acquisition
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and neurology for over ten years. This expertise is reflected in our software systems ARCSolver ® and encevis™ , which support physicians in the evaluation of complex pulse wave data and EEG signals in
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The Registered Nurse for the Regional Epilepsy Center works as part of a multidiscipline team to provide care for epilepsy and EEG patients. This position is often the first contact point for patients. Main job
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measurements. Professional Experience: In health and rehabilitation projects. Classification and models of Artificial Intelligence: Machine and Deep Learning. In recording and signal processing. Experience in
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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