87 digital-image-processing-phd-scholarship Postdoctoral positions at Rutgers University
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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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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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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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, 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
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candidate(s) must hold a PhD or MD degree in Neuroscience or relevant biological sciences. Candidates in All But Degree (ABD) status will also be considered. Prior experience with cell culture, biochemistry
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include the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin
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advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
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to outstanding facilities of Genomics, Genetics, Proteomics, Confocal and high-content imaging, Histopathology, Analytical Chemistry, Flow Cytometry, etc. The position is based in the Gliniak lab
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candidate(s) must hold a PhD or MD degree in Neuroscience or relevant biological sciences. Prior experience with cell culture, biochemistry, and cell imaging techniques are required. Certifications/Licenses
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for NIH-funded laboratory in the Department of Genetics at Rutgers. The laboratory research uses mouse systems to study processes relevant to human reproduction using genetics, molecular biology