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individuals Expertise in or familiarity with current and emerging digital technologies (such as AI, GIS tools, data visualization tools, etc.). Demonstrated experience in the application of information
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Matlab, R or Python Neuroscience research experience is an advantage Work Mode Designation This position has been designated as Hybrid. Please note that work mode designations are regularly reviewed in
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and mathematical modeling (Python, MATLAB, or R) Design of controlled experimental systems to test mechanistic hypotheses Application Instructions Interested candidates should submit the following
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design and execute research projects Proficiency with Excel/Google Sheets (e,.g., pivot tables, vlookup) Familiarity with at least one statistical analysis language/program like Python, R, STATA, SAS
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and genetics Quantitative imaging techniques (FRAP, FLIM, super-resolution) Analysis of protein folding, stability, and phase separation Programming for data analysis and mathematical modeling (Python
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-scale molecular datasets Programming skills in Python and/or R Strong publication record in related areas Excellence in experimental design and execution Excellent written and verbal communication skills
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strong theoretical and technical background in vision research. Proficiency in programming (MATLAB or Python) and experience in human neuroscience research are required. Application Instructions
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of fundamental skills needed to perform data science work in an Advancement organization (i.e. knowledge of database structures, SQL coding, python, etc.) Advanced proficiency in statistical concepts, data
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and analytical skill set, which includes competencies in R, Python, and database applications. Previous experience with analysis of multi-omics data including metabolomics, lipidomics, proteomics, and
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to resolve end user’s issues Strong macOS experience in an Active Directory Environment Familiarity with scripting languages such as Bash, Python Good analytical and problem-solving skills. Strong