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Field
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programming language (preferable: MATLAB or Python) Experience with one or several of the listed human neuroscience techniques. Ability to work and learn independently and perform research with a high level of
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(Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g., neural activity and behavior). Experience working with quantitative behavioral or electrophysiological data collection
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demonstrate proficiency in the design, fabrication, and pre-clinical testing of innovative devices. You should be adept with LabView, MATLAB, and SolidWorks. About the School The role will be situated
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preferred. Proficiency in computational tools such as MATLAB, Python, R, or machine learning applications in immunology is desired. Candidates should have a PhD in Chemistry, Chemical Engineering
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related field. Proficiency in one or more of the following: in vivo electrophysiology, two-photon imaging, animal surgery, behavioral design, programming languages (Python/MATLAB), and data analysis
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sleep; performing anatomical tract tracing; analysing existing and new datasets using python and Matlab using advanced statistical methods such as machine learning; collaborating with other members
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. Experience with programming languages such as Python, R, or MATLAB and experience with relevant tools and frameworks for data analysis and machine learning. Experience with database technologies, particularly
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microplastic particles based on spectral and morphological fluorescence data. Develop and maintain modular analysis pipelines in Python or MATLAB, integrating data preprocessing, feature extraction, and
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, particularly in data analysis Experience with statistical analysis (e.g., SPSS, MATLAB) and programming (e.g., R, MATLAB, Python) Experience with fMRI data collection and analysis (e.g., FSL, SPM) Required
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, Matlab, R, etc.) is also advantageous. Department Contact for Questions Questions regarding the position or application process can be directed to: Prof. Van Stappen, Department of Chemistry, Indiana