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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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A postdoctoral research associate is sought to develop an experimental (hardware) platform that enables efficient exploration of complex parameter spaces. The platform will integrate comprehensive
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deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical optimality with computational efficiency. Reinforcement Learning through Stochastic Control. We will
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for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and artificial intelligence methods for vascular mapping and navigation using computed tomography (CT) and digital
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications
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two-year Small Business Technology Transfer project (STTR) funded by the National Science Foundation. The successful candidate is expected to support the development, simulation and testing of model
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of the project. The Mathematical physics position will contribute to the mathematical foundations of entropy, randomness and irreversibility, with possible directions including large deviation theory, algorithmic
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, algorithms, applications, compilers, runtimes, and system-level constraints. Work with project teams to formulate and evaluate novel research ideas, develop research software and prototypes, mentor students
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. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects
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elaborated an algorithm for identification of cancer specific T cells, which selectively kill autologous tumour but not healthy lung tissue. Simultaneously, we have developed the method for identification and