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skills and interest in analysis of audiovisual materials (including sound, images and video). The fellow will work closely with the WMP Co-Directors, WMP’s Program Manager, and QAC faculty and staff
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research centre dedicated to understanding normal and pathological brain function and developing new diagnostic and therapeutic approaches. Website: https://neurosciences.univ-grenoble-alpes.fr You will be
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, electronics, image and data analysis, chemistry, and biology. In this position, the successful candidate will work on the development of a novel three-dimensional single-molecule localization microscopy
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, behavioral, clinical, genetic, and proteomic data. Prepares documentation of existing and newly developed brain image analysis pipelines, algorithms, and quantitative methods. Assists the team leader in
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development of existing image and data analysis tools -performance characterization using various types of samples (calibration samples, model systems, biological samples and/or nanomaterials) -participation in
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neuropsychological assessment with brain imaging data (e.g., functional MRI, structural MRI, EEG) Proficiency with neuroimaging analysis software or electrophysiological data processing Experience conducting clinical
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
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, and analysis of multicolor images. - Advanced optical microscopy (nanoscopy) - Image acquisition and analysis - Microfluidics - Fluorescent labeling protocol - Multimodal characterization
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molecular biology to electrophysiology of cultured neurons, confocal imaging and quantitative nematode behavioral analysis. Candidates who have experience in molecular biology, pharmacology, epigenetics or C
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab