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on the development and maintenance of advanced pulmonary CT image processing algorithms and AI solutions aimed at improving lung disease diagnosis and treatment. This role offers an exciting opportunity to contribute
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Implement and maintain bioinformatics workflows for sequence analysis and protein characterization Collaborate on algorithm development to improve protein generation accuracy and diversity Laboratory
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developing new methods and techniques that will improve standard ML algorithms so as to achieve good performance outside their training distribution, by treating high-dimensional problems as an explicit
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machine learning algorithms. It also serves as a foundation for more advanced ML courses. The students will learn about ML problems (supervised, unsupervised, and reinforcement learning), models (linear and
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, and collaborative remote sensing science. The research includes the following activities: • Developing and applying algorithms for analyzing imaging spectroscopy data from airborne and spaceborne
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analysis, and algorithms of computational research questions at a level sufficient to converse with Princeton's world-class researchers to support the ongoing work. This will consist of independent research
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data and analyzes outcomes. Performs research on current and future HPC, data, and CI technologies, hardware and software. Works on algorithm development, optimization, programming, computer science
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to develop advanced algorithms, parallel computing capabilities, and software engineering of Green’s function based multiple-scattering code for computing the electronic structure and energetics
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Estimation. The research includes the following activities: • Develop algorithms and research directions to improve state estimation of polar ice caps (Greenland/Antarctica) • Calibration/Validation of high
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interactive and complex data visualizations and analysis tools (e.g. data dashboards); researching, designing and testing algorithms and programs; refining tools based on feedback, and ensuring continuity