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executing the experiments Developing relevant algorithms for experimental data post-processing Mentor and work closely with multiple Ph.D. and M.S. students as well as four principal investigators from
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: Computer science MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Distributed Algorithms – Fault Tolerance – Cloud computing JOB /OFFER DESCRIPTION We are looking for a young researcher interested in fault tolerance and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
, and medicine. Key Responsibilities Collaborate with researchers to design, develop, and refine large language and generative models. Develop novel algorithms for generative modeling tasks and optimize
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Analysis for Stable AI” funded by a European Research Council Advanced Grant. The Opportunity: This postdoctoral position will be devoted to research on algorithms in Artificial Intelligence (AI) from
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responsibilities may include improvements to the geodetic early warning algorithm, G-FAST, and testing scenario earthquakes in different regions around the world. Minimum Education Required A Ph.D. is required, with
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of AI for the integration of multimodal healthcare data specifically incorporating patient preferences. This includes investigating new methods but also designing and benchmarking integration algorithms
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, engineering, or a related field. Strong programming skills and experience in machine learning or statistical modelling are essential. Experience with healthcare data, algorithmic fairness, or deep learning
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will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by both real-world needs and formal foundations. They will work at the intersection
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computing algorithm to implement the modelling of inelastic molecular collisions on present-day quantum computing hardware (e.g., IBM-Q, IonQ) within a framework of mixed quantum/classical theory
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for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research