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Field
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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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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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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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motivated Research Fellow to join a collaborative, interdisciplinary team focused on statistical, computational, and integrative analysis of metabolomics and other omics data, with applications in
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cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization
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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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& Moist). This role will involve designing custom test fixtures, conducting practical laboratory work, and performing data analysis to create a robust and reliable testing protocol. Key Responsbilities