52 parallel-processing-bioinformatics Postdoctoral research jobs at Rutgers University in United States
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gauges, computer monitors, charts, forms, text and numbers for prolonged periods. WORK ENVIRONMENT Included is training in BSL3 practices, and willingness to work with virulent and drug-resistant M
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person, on the telephone and by e-mail. Vision capable of viewing gauges, computer monitors, charts, forms, text and numbers for prolonged periods. WORK ENVIRONMENT Must be available to work flexible hours
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research setting. Ability to work independently and in teams. Preferred Qualifications Equipment Utilized Computer (Microsoft Office) Physical Demands and Work Environment PHYSICAL DEMANDS: Frequent
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research on health outcomes and environmental data. Experience in qualitative research or community engagement. Equipment Utilized Computer literate with proficiency in statistical and analytical software
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are at high risk for developing the disease. Our mission is clear: to lead the way in finding solutions to prevent and treat this devastating disease. With a focus on translating groundbreaking research
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auditory perception, learning, and decision-making. Performs anatomical tract tracing, AAV-based labeling, immunohistochemistry, imaging, and analyses of the neural circuits involved in auditory processing
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for pursuing original research directions aligned with the group’s broad goal of understanding the processes that govern planetary evolution and habitability. The initial appointment is for one year, with
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., fNIRS, EEG, fMRI) and research platforms (e.g., REDCap, Qualtrics). Equipment Utilized Microsoft Word, Excel, PowerPoint, Adobe; Cognitive Assessment; Wearable sensors/actigraphy and data processing
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and treat this devastating disease. With a focus on translating groundbreaking research into real-world impact, our team is committed to improving the lives of individuals, families, and communities
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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