69 digital-image-processing-phd-scholarship Postdoctoral positions at Rutgers University
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. Records, quantifies and analyzes data from experiments. Assists Principal Investigator in data processing. Minimum Education and Experience: The candidate must have a PhD in the fields of Neuroscience
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, cryosectioning, immunocytochemistry/immunohistochemistry, advanced staining (antibodies, RNAscope, proximity ligation assays) and high-resolution imaging approaches and quantifications from both mouse and human
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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stimulation and recording electrodes. Design, execute, and analyze research studies using intracranial EEG data from animals. Perform advanced signal processing and time–frequency analyses of neural recordings
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department RWJ - Surgery Acute Care
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electrophysiology in brain slices and cell cultures. Performs behavioral tests in mice. Performs in vivo 2p imaging in head-fixed mice. Compiles and analyzes data with appropriate conclusions and recommendations in
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, medicinal chemistry, and/or chemical biology. Applicants should be exceptionally driven and self-motivated individuals with the highest commitment to excellence in scholarship. Position Status Full Time
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stimulation and recording electrodes. Design, execute, and analyze research studies using intracranial EEG (ECoG, SEEG) data from animals and humans. Perform advanced signal processing and time–frequency
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duties of this position are the following: Conducts research processes and procedures in the laboratory. Assists in the acquisition and analysis of data. Supports the Principal Investigator's plans
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, the Postdoctoral Associate will investigate hippocampal and cortical circuits during navigation and goal-directed behaviors using large-scale electrophysiology, in vivo imaging, optogenetics, and computational