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part of Dr. Miller's program of work on lifespan motor and visual development in neurodivergence. The ideal candidate will contribute heavily to analysis of existing data and dissemination of results
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transform visual information, and how neuromodulatory state changes, including exposure to drugs of abuse, alter visual processing and visual behavior. We combine large-scale electrophysiology with controlled
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of the FragPipe computational platform. Conduct data mining, visualization, and statistical analysis. Participate in collaborative research projects. Publish manuscripts in peer-reviewed journals. Required
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tools for mass spectrometry data analysis. Contribute to the development and maintenance of the FragPipe computational platform. Conduct data mining, visualization, and statistical analysis. Participate
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. Publication record in optimization, evolutionary computation, and machine learning. Experience with multi-objective optimization and multi-criteria decision-making. Experience with data visualization
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in the Ponce lab at Harvard Medical School in Boston, Massachusetts. The work of the Ponce lab is focused on how populations of neurons in the primate visual system encode visual information and guide
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a planned randomized experiment. The fellow will be involved in data cleaning, data analysis, design of the experiment, academic and policy writing. The candidate will work under the supervision
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 4 days ago
science databases. This data analysis may be performed using various programming languages such as, SAS, R, or Python. As part of this opportunity, you will be able to engage with a multi-disciplinary
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Research Associate, Translational Research Fellow - Dept. Ophthalmology Visual & Anatomical Sciences
and application, CRISPR/Cas mutagenesis, and single-cell RNA sequencing is highly preferred. Proficiency with relevant data analysis and visualization tools (e.g., R, MATLAB, or Python) is required
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databases and structured and unstructured data mining tools Knowledge of SAS, R, Python, and SQL, or data visualization software Knowledge of open/public/private databases HOW TO APPLY: Applicants should