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spectrometry, protein-protein interactions, recombinant expression/purification. Preferred Qualifications Equipment Utilized Must be familiar with Microsoft Office, Adobe Photoshop and Illustrator, and R. Must
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Microsoft Word, Excel, Access and PowerPoint. Preferred Qualifications Proficiency and knowledge of multiple statistical software packages preferred, such as SPSS, SAS, R, Python, etc. Experience with ML/DL
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analysis software (e.g., SPSS, R, NVivo) is highly desirable. · Publication Record: Evidence of scholarly productivity, including publications in peer-reviewed journals. · Communication Skills: Strong
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-tracking, and psychophysical experimental design, MRI data collection in a 3T Siemens scanner or equivalent, analysis of MRI data (SPM, FSL, or equivalent), statistical analyses in MATLAB, R, Palamedes
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(classic; Bayesian), machine learning, or other statistical approach with accompanying expertise in whatever stats package(s) is desired (SPSS; R; Stata; SAS; NumPy or PsyPy; etcetera). A strong ability to
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the ability to train and manage student researchers and technicians. Preferred Qualifications Preferred experience: in vivo imaging, ex vivo electrophysiology, rodent behavior, Python/R/Matlab coding
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. Experience in cancer genomics, microbiome, and metabolomics analysis ideal. Experience in scRNAseq or long reads data analysis is a plus. Programming skills in R, Python, SAS, Perl, BASH or similar a plus
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analysis is a plus. Programming skills in R, Python, SAS, Perl, BASH or similar a plus. Experience working in a Linux environment preferred. Experience working in high-performance computing environments
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proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Proficiency in R or Python is greatly appreciated. Researcher must have the ability to work
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equivalent, analysis of MRI data (SPM, FSL, or equivalent), statistical analyses in MATLAB, R, Palamedes or equivalent, low vision or blind patient recruitment and interaction, IRB submission and management