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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
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pharmacoepidemiology and healthcare analytics experience (Medicaid, Medicare, commercial, and EHR populations). Proficiency in R, Python, and SQL. City: New Brunswick State: NJ Location: Rutgers University - New
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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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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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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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supervision. Analyze behavioral and neural datasets using MATLAB and/or Python. Read and discuss relevant neuroscience literature and participate and present in laboratory meetings. Handle additional related
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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