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biological or genomic datasets. Proficiency in programming languages commonly used in scientific computing (e.g., R, Python, Linux/Unix environment). Excellent analytical, written, and verbal communication
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in Python, shell, and PowerShell. Experience with PHP. Familiarity with HTML5, CSS, and JavaScript. Ability to work with structured data formats like JSON or XML. Familiarity with basic conceptual
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to detail and willingness to learn new computational and laboratory techniques. Preferred Qualifications Familiarity with Python, machine learning, Linux-based computing, molecular biology, or cell culture is
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outstanding programming skills using popular programming languages (e.g., Python). Candidates should also be able to work independently, employ critical thinking, perform team science, and have good oral and
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audiences. Proficiency with standard office and data tools (Microsoft Word, Excel, PowerPoint, coding (R or Python), reference managers). Experience demonstrating solid judgment, organizational, planning
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, and Abilities Knowledge and experience with ESRI ArcPro and ArcGIS Online, including Arcade coding. Knowledge and experience with coding with R or Python to automate GIS and statistical analysis
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, Python and R. Equipment Utilized Microsoft Office Suite (Word, Excel, PowerPoint, Outlook), Microsoft Teams, SharePoint, Adobe Acrobat, Qualtrics, database and project management software. Physical Demands
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at least two programming languages including Python Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special Instructions to Applicants
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analyses of imaging, genomics, transcriptomics and proteomics data, as well as statistical analyses of biological data and any other types of analyses that might arise. Most of these will be Python-based
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar