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research laboratories. Assist investigators with statistical analysis, data visualization, and interpretation of high-dimensional biological datasets. Develop reproducible research pipelines using Python, R
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, Python, and SQL to manage, analyze, and validate large and complex datasets. Perform data cleaning, quality checks, and routine performance measurement analyses. Develop reproducible analytic code and
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multi-institutional partners to ensure protocol fidelity and reproducibility across sites Develop and maintain scalable, reproducible data pipelines using Python/MATLAB and relevant neuroinformatics tools
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will have proven analytical problem-solving skills, experience in programming (Python, C++, or MATLAB), and evidence of contributions to peer-reviewed publications or technical outputs. Experience in
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reliability Computational Neuroscience Scientific communication Excellent command of English Experience in human data analysis (psychophysics and EEG/MEG specifically) Python Where to apply E-mail laura.dugue@u
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/or Python Interest in regression, multilevel/hierarchical and/or Bayesian modeling Interest in translational clinical research and ability to work in an interdisciplinary team Excellent written and
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Qualifications Cont Experience with one or more of the following tools: Python, C#, PowerShell, Power BI, SAS, Stata, and Web technologies Experience performing core DBA responsibilities, including: Permissions
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Synapse, Azure Data Factory, and Microsoft Fabric, along with an understanding of Spark, is desired. Experience with tools such as with Python, C#, Powershell, Power BI, SAS, Stata, and Web technologies
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Python or R languages. Experience with differential expression analysis is desired, as is experience with non-model organisms and phylogenetics. Ability to work both as part of a team, and independently
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have professional experience developing complex electro-mechanical hardware and systems integration to create working prototypes. You may be comfortable working with software such as Linux, ROS, Python