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including data from parent surveys, child assessments, and classroom/teacher assessments. Performs both quantitative research including administrative data analysis. Supports processes to seek out funding and
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and implement computational techniques in processing neuroimaging including CT and MRI modalities. Demonstrated ability in big data analytics and machine learning techniques. Expert ability in
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), transcranial magnetic stimulation (TMS), and human electrophysiology (EEG) data acquisition and analysis using standard and advanced techniques. Keeps records of work performed and maintains a database as
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computational and statistical approaches. Develop, implement, and maintain reproducible analysis pipelines (QIIME2, R, Python, or equivalent). Perform DNA extractions, barcoding, and library preparation
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processes and procedures in the PI laboratory. Assists in the acquisition and analysis of data. Supports PI’s plans, developments, and implementations of laboratory and research studies. Assists with
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, and Abilities Proficiency in programming languages commonly used in data analysis and machine learning, such as Python, R, or MATLAB. Must have effective oral and written communication skills; and
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-on experience in preparation and analysis of proteins, nucleic acids, and complexes thereof. Requires in-depth understanding and hands-on experience in molecular cloning and sequencing Experience in handling
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-solving skills. Certifications/Licenses Required Knowledge, Skills, and Abilities Develop and support the creation of scientific protocols and statistical analysis plans for grant funded studies Conduct
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have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding of neuroimaging data to predict subjective
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. in Neuroscience, Molecular Biology, Genetics, or a related field. - Demonstrated expertise in mouse genetics, genotyping, and behavior analysis. - Proficient in a range of laboratory techniques related