49 parallel-processing-bioinformatics Postdoctoral positions at Rutgers University in United States
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). Equipment Utilized Microsoft Word, Excel, PowerPoint, Adobe; Cognitive Assessment; Indirect calorimetry with metabolic measurement; Wearable sensors/actigraphy and data processing; Statistical software
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decision processes and/or integrate neuroimaging and detailed phenotypic data to investigate mechanisms relevant to addiction and recovery. We are seeking a Postdoctoral Associate to join the Addiction
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of human disease, particularly neurodevelopmental disorders, including data analysis, image processing, literature research, and composition. They will handle transgenic mouse models, maintain colonies
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in quantitative methods. Must have high proficiency in R and/or other computer programming languages. Applicants in All But Degree Status will be considered for interviews. Preferred Qualifications
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required along with knowledge of molecular biology, computer programming, statistical analysis and genome evolution. Mentoring experience is also required. Certifications/Licenses Required Knowledge, Skills
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high proficiency in R and/or other computer programming languages. Applicants in All But Degree Status will be considered for interviews. Preferred Qualifications Experience with computational
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in auditory processing and decision-making. Performs stereotaxic surgical procedures, including craniotomies, implants, viral injections, and related recovery and animal care procedures. Performs high
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decision processes and/or integrate neuroimaging and detailed phenotypic data to investigate mechanisms relevant to addiction and recovery. We are seeking a Postdoctoral Associate to join the Addiction
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, moderate standing, moderate walking, bending, travel to various sites/locations. Extensive reading required. Extensive computer work required. Periodic speaking/lecturing for prolonged periods. A Moderate
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: Strong skills in developing biosignal processing algorithms and implementing machine learning models for data interpretation. Technical Oversight: Ability to monitor complex data collection processes and