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Field
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responses using imaging and electrophysiology. Multi-channel stimulation optimization will be achieved using a closed-loop, semi-automated experimental paradigm. The findings from these experiments will feed
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are to optimize intraretinal stimulation. Using novel carbon fiber array technology, we will stimulate inner retina cells and record evoked responses using imaging and electrophysiology. Multi-channel stimulation
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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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good communication and technical skills. Experience in either one of the following fields: cell biology, mice or invertebrate genetics, imaging and/ or biochemistry (e.g., protein purification, in vitro
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publication and contribution to conferences in the field of cognitive neuroscience, physical activity, data science, engineering, brain imaging or related fields. Expertise in analysing MRI and fMRI Brain
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. The Research Fellow will join an international team in the project “Imaging the magma storage region and hydrothermal system of an active arc volcano”, funded by the UK Natural Environment Research Council and
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. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and analysis in tandem with PET data. Opportunities exist for integration of imaging
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. The lab combines basic virology and cell biology approaches including widefield, confocal and super resolution imaging techniques and flow cytometry to address key questions. The prospective candidate
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. The Research Fellow will join an international team in the project “Imaging the magma storage region and hydrothermal system of an active arc volcano”, funded by the UK Natural Environment Research Council and
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modifications), as well as spatial transcriptomic data. You will systematically review and extract relevant information from clinical records and integrate this with neuropathology, imaging, and omics data