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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
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-scale energy models to analyze high-performance buildings and geothermal energy systems. (3) Assess technical and non-technical barriers to the adoption of clean energy technologies. (4) Conduct analyses
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of planetary atmospheres and surface environments · Strong programming skills (e.g., Python, C/C++, or Fortran) and familiarity with high-performance computing, and · Excellent organizational and written and
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and written communication skills; and ability to understand and communicate in English to sufficiently perform the job duties. Must be computer literate with proficiency and working knowledge
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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exercise independent judgment in data analysis, troubleshooting unexpected results, adjusting protocols, and ensuring high-quality data for publication. Scope & Impact: The position involves complex
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perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Applicant should be highly motivated