133 parallel-processing-"Flow-Analysis-and-simulation-Team" Postdoctoral positions at Rutgers University
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electrophysiology data analysis, preferred. Strong quantitative and programming skills (e.g., MATLAB , Python, R) preferred. Solid background in signal processing, statistics, or computational
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experience with electrophysiology data analysis, preferred. Strong quantitative and programming skills (e.g., MATLAB , Python, R) preferred. Solid background in signal processing, statistics, or
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processing, statistics, or computational neuroscience, preferred. Outstanding presentation skills, preferred. Experience in graphing, statistical analysis and data management skills, preferred. Proficient in
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metabolic measurement; Wearable sensors/actigraphy and data processing; Statistical software including R, STATA / SAS ; Physiological and neuroimaging assessments/equipment (e.g., COSMED , 31P- MRS
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Position Details Position Information Recruitment/Posting Title PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science Department Quantitative Biomedicine Inst Salary
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to reduce ceramic cations as the raw material. The candidate is also expected to be well-versed in powder processing, processing in low Po2 environments, chemical and physical powder characterization
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-channel count silicon-probe electrophysiology, optogenetics and opto-tagging, viral circuit tools, anatomical tract tracing, immunohistochemistry and imaging, and quantitative analysis of behavioral and
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-channel count silicon-probe electrophysiology, optogenetics and opto-tagging, viral circuit tools, anatomical tract tracing, immunohistochemistry and imaging, and quantitative analysis of behavioral and
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study · Proficiency in R or Stata and experience working with quantitative data analysis are essential. · Record of peer-reviewed publications Certifications/Licenses Required Knowledge, Skills, and
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, biostatistics, or a related field. A record of peer-reviewed publications. Proficiency in R (+SAS or Python a plus), and experience working with quantitative data analysis and comprehensive understanding of