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research in machine learning (ML) for applications in High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time
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implements machine and deep learning programs. Develops algorithms to deconvolve RNA-seq data and compare them to AI-based methods. Performs follow up validation efforts on cell lines. Minimum Qualifications
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research associate position in AI for science. The Learning Systems Group seeks a postdoctoral researcher specializing in federated learning and privacy-preservation algorithms. The successful candidate will
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- $70,0000 Type of Position Staff Position Time Status Full-Time Required Education PhD Required Related Experience None Required License/Registration/Certification None Physical Requirements Sitting and/or
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
is designed for candidates who have completed their PhD within the last two years and have experience as postdocs or industry researchers. This position offers a 12-month term with potential
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Qualifications PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods
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Postdoctoral Associate/Senior Postdoctoral Associate- Quantum Computing Postdoctoral Associate: Required Qualifications: (as evidenced by an attached resume) ● PhD (or foreign equivalent) in
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Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods of research, testing and data
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. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods
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advanced many-body methods, high-performance computing, and machine learning approaches. The successful candidate will play a leading role in developing computational methods and high-performance algorithms