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Field
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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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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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imaging facilities, such as one research-dedicated 3T scanner, MEG/EEG, TEP, TMS/tDCS and other useful resources. For more information, see: https://dreherteam.wixsite.com/neuroeconomics Where to apply
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, electrical stimulation or ultrasound brain stimulation. n. The ideal candidate will have experience with advanced analytics and signal processing, using MATLAB/Python, as well as experience presenting and
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multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a team with a strong track record in Big Data analytics in child mental health, helping accelerate the move toward
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are looking for candidates who bring: Expertise in EEG acquisition, signal processing, and data analysis Proficiency in programming Experience in child development research, especially related to auditory
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areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior experience in physiological signal processing (e.g., EMG, EEG, ECG) is an advantage. Familiarity with HCI principles
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(CDEs), specifically within the context of realistic, incompressible CBF processes. The Postdoctoral Researcher will be part of a team of researchers investigating the impact of CBF through