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Field
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brain. Our group has access to a large (~400 patients) dataset of multimodal neuroimaging and clinical data from ALS patients. By integrating multimodal patient data (MRI, DTI, fMRI, EEG/MEG) into
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attentional sampling in focused and divided attention in a series of experiments using a combination of electroencephalographic (EEG) recordings of frequency-tagged steady-state visual evoked potentials and
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of experiments using electroencephalographic (EEG) recordings of frequency-tagged steady-state visual evoked potentials (SSVEPs), the project will assess processing of attended and unattended colors in
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disorders (i.e., Fragile X Syndrome). Taking advantage of multiple state-of-the-art techniques (e.g. multiphoton in vivo imaging, fiber photometry, EEG/EMG recordings, chemogenetic manipulation, and gene
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
, or a related field, as well as a keen interest in neuroscience. Good computer programming skills (e.g., C++, Matlab, Python) are necessary. The ideal candidate would have experience in EEG or MEG (or
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fMRI, EEG, and/or psychophysiological methods. Familiarity with research on fatigue, motor control, and/or interoception. Interest in interdisciplinary collaboration and translational research. Special
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access to state-of-the-art facilities in sound/video recording, motion capture, eye tracking, physiological measurements, various types of brain imaging (EEG, fMRI), and rapid prototyping and robotics
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/Python pipelines for EEG analyses, preparing manuscripts and high-quality visualisations, and overseeing ethical approvals and participant recruitment as required. About You You have or be close to the
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vectors studies, including vector design and cloning. RNA sequencing. Proteomics/transcriptomics and bioinformatics. PLA. Immunohistochemistry on brain sections. Surgery to implant electrodes and EEG
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-level structural and functional magnetic resonance imaging (MRI), transcranial magnetic stimulation (TMS), and human electrophysiology (EEG) data acquisition and analysis using standard and advanced