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Field
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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
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objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms (50%). PhD in computer science, engineering
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Susquehanna International Group, Quantitative Research Internship ID: SIG -QSTINT28 [#26690] Internship Title: Machine Learning Internship Program – PhD Hire – NY/Philadelphia area Internship Type
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the Computational Urban Sciences Group in the Advanced Computational Methods for Engineered System Section, Computational Sciences and Engineering Division, Computing and Computational Sciences Directorate, at Oak
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Job Posting Title: Acoustic Signal Processing Algorithm Design & Data Analysis Engineering Scientist Associate ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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advanced proficiency in the underlying science, math, statistics, data analysis, and algorithms of computational research questions at a level sufficient to converse with Princeton’s world-class researchers
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. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation
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. The focus will be on developing algorithms and techniques that optimize beamforming performance to enhance signal acquisition, tracking robustness, and interference mitigation. Benefits Our commitment
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. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation