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data Multiunit electrophysiological experiments, particularly using Neuropixels Software Expertise and Data Analysis: pCLAMP, ImageJ, MatLab, Imaris Additional expertise using Igor Pro, Prism, Python
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methods and foundations. Strong programming skills, including the use of Python / TensorFlow /PyTorch. Experience using high-performance computing systems. Ability to work with multidisciplinary teams
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Laserfiche or Process Design Experience Scripting in Powershell or Python InTune or Active Directory Knowledge, Skills, and Abilities Ability to multitask and work cooperatively with others. Must be able
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support applied research on Texas residential markets. The ideal candidate will have experience collecting and analyzing economic data, proficiency in statistical tools like R or Python, and the ability
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the undergraduate level. Proficiency in relevant tools (e.g., Excel, SQL, Tableau/Power BI, Python, R) and in using platforms (e.g., Anaconda, Google Collaboratory, R-Studio). Excellent written and verbal
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predictive models for natural hazard-related data. Experience with data visualization tools and programming languages (e.g., R, Python, SQL). Experience with data management and data analytics in cloud-based