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Field
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, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D
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learning algorithms focused on image data, natural language processing, and tabular data Conduct exploratory data analysis and feature engineering for high-dimensional datasets, including image, text, and
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or improvement. The intern will analyze the performance of AI models by comparing model predictions against established benchmarks. They will contribute insights on how to optimize algorithms and improve
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Qualifications: (as evidenced by an attached resume) * Ph.D. degree in Data Science, Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Neuroscience, or a related field. * 5 years
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, equipped with state-of-the-art facilities, to work on the following: Conduct research, development, and testing of SLAM and multi-sensor fusion algorithms for UAV swarms in GNSS-denied, cluttered
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, equipped with state-of-the-art facilities, to work on the following: Conduct research, development, and testing of SLAM and multi-sensor fusion algorithms for UAV swarms in GNSS-denied, cluttered
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research in PPPL-relevant AI4Science topics. The Computational Sciences Department at PPPL was formed to provide a focus for computational physics and engineering. We specialize in algorithms and applied
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submission to IRBs, sponsors and master agreements, and coordinates with the Research Program Director on remediation. 2. Coordinates the efforts of relevant team members to manage, retain and control all
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collection methods for external data (e.g. web scraping) to collect data for use in modelling and analysis. Develop analytic plans, engineer supporting algorithms, write new functions or applications in
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of PhD students on this project, collaborating with other partners in the ARIA programme, assisting with the delivery of project milestones, and managing the project’s codebase. We expect novel algorithms