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, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition/analysis) Familiarity with surgical techniques or willingness to be trained in rodent survival
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, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition/analysis) Familiarity with surgical techniques or willingness to be trained in rodent survival
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electrophysiology (neural recording, EMG, or related techniques) Exposure to sensor design, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition
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with electrophysiology acquisition and analysis (for example spike sorting, LFP analysis, population analyses) Strong quantitative skills and programming experience (MATLAB and or Python), including
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(for example spike sorting, LFP analysis, population analyses) Strong quantitative skills and programming experience (MATLAB and or Python), including reproducible analysis workflows Familiarity with
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programming skills (Stata, R, Python; MATLAB) • Knowledge of econometrics and macroeconomic theory • Plus if also skilled in blockchain analysis but not necessary. • Strong written and verbal communication
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-solving skills. Prior experience with prototyping or fabrication (for example, CAD, 3D printing, or machining) is desirable but not required. Familiarity with MATLAB and/or Python is preferred. Additional
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, clinicians, engineers, and neuroscientists as part of a collaborative team. Perform data collection, processing, and statistical analysis in Python or MATLAB. Document findings, prepare reports, and contribute
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, synchrony, connectivity, oscillations) o Quantitative analysis of network activity from MEA and/or imaging o Proficiency in Python, MATLAB, or similar languages for data processing, statistics, and
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proficiency with basic computing packages such as MS Word and Excel and will have some familiarity with one or more of the following (Linux, MATLAB, SPM, FSL, fMRI). Strong interpersonal skills, prior research