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Knowledge, Skills, and Abilities Ability to read, write, speak, understand, and communicate in English sufficiently to perform job duties. Must be computer literate with proficiency and working knowledge
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in collaboration with local and international partners. The Postdoctoral Associate will design, execute, and interpret computational analyses for large-scale genomic, transcriptomic, and epigenomic
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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-of-the-art behavioral, neurophysiological, circuit, and computational approaches to examine neural activity in awake-behaving rodents performing auditory and audiovisual tasks. These approaches include high
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-performance computing, and shared lab space with other neuroimaging groups. The Postdoctoral Associate will also have opportunities for collaboration with investigators affiliated with the Rutgers-Princeton
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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City
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learning and quantum information science. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer
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-performance computing, and shared lab space with other neuroimaging groups. The Postdoctoral Associate will also have opportunities for collaboration with investigators affiliated with the Rutgers-Princeton
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for coupling functional genomics techniques with computational analyses to understand gene regulation in health and disease. Such models are based on multi-omics high-throughput assays, either performed by
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, circuit, and computational approaches to examine neural activity in awake-behaving rodents performing auditory and audiovisual tasks. These approaches include high-channel count silicon-probe