133 parallel-processing -"Flow-Analysis-and-simulation-Team" Postdoctoral positions at Rutgers University
Sort by
Refine Your Search
-
electrophysiology data analysis, preferred. Strong quantitative and programming skills (e.g., MATLAB , Python, R) preferred. Solid background in signal processing, statistics, or computational
-
experience with electrophysiology data analysis, preferred. Strong quantitative and programming skills (e.g., MATLAB , Python, R) preferred. Solid background in signal processing, statistics, or
-
processing, statistics, or computational neuroscience, preferred. Outstanding presentation skills, preferred. Experience in graphing, statistical analysis and data management skills, preferred. Proficient in
-
metabolic measurement; Wearable sensors/actigraphy and data processing; Statistical software including R, STATA / SAS ; Physiological and neuroimaging assessments/equipment (e.g., COSMED , 31P- MRS
-
Position Details Position Information Recruitment/Posting Title PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science Department Quantitative Biomedicine Inst Salary
-
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
-
-channel count silicon-probe electrophysiology, optogenetics and opto-tagging, viral circuit tools, anatomical tract tracing, immunohistochemistry and imaging, and quantitative analysis of behavioral and
-
-channel count silicon-probe electrophysiology, optogenetics and opto-tagging, viral circuit tools, anatomical tract tracing, immunohistochemistry and imaging, and quantitative analysis of behavioral and
-
culture. Proficiency in molecular biology techniques (cloning, qPCR, Western blotting, gene editing). Familiarity with flow cytometry and data analysis using software such as GraphPad Prism, R, or Python
-
culture. Proficiency in molecular biology techniques (cloning, qPCR, Western blotting, gene editing). Familiarity with flow cytometry and data analysis using software such as GraphPad Prism, R, or Python