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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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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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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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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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development and/or in C++ language development in a CFD environment; Competent in soft skills / general personality traits e.g. information visualization, interaction design Experience with energy modelling
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with gastrointestinal research Experience with organoid cultures and/or flow cytometry Proficiency in analysis and interpretation of -omics data Please submit Inquiries to Yash Choksi (yash.a.choksi
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challenges of intelligent biosensor-based monitoring; • Develop software components for real-time data collection, processing, and visualization, contributing to more effective decision support systems
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. Development and validation of software components: Implementation of the backend for data ingestion, storage, and management Development of the frontend for information visualization and interaction with
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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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electrochemical techniques. Experience with data visualization and analysis software. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background