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software development, modern software languages, cloud technologies, databases, and algorithms. Experience with data analytics, artificial intelligence, and machine learning is a plus. The individual must be
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include the porting of lattice QCD libraries to the Exascale Architectures (e.g. Frontier at OLCF) and/or emerging programming models (HIP, SYCL, Kokkos, etc), software optimization and/or algorithmic
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satellite constellations [2]. This PhD aims to develop a comprehensive analytical and algorithmic framework for deterministic QoS guarantees in dynamic LEO satellite constellations. The research will pursue
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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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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
); demonstrated interest in computer science, progress, computational performance, algorithmic improvement; proficiency with: MS Office, Google Workspace (Word, Excel, and PowerPoint, Gmail, Google Slides
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the sole discretion of the University. Essential Duties and Responsibilities include the following. Other duties may be assigned. 1. Research, develop, validate, and deploy AI models, algorithms, and data
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Sonmez Turan [email protected] 301.975.4391 Description NIST standardized cryptographic algorithms are intended to be "bulletproof". That is, the computational complexity needed to break them is
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involving Prof. Dr. Michael Bader (TUM CIT, Hardware-aware algorithms for HPC) , Prof. Dr. Felix Dietrich (TUM CIT, Physics-enhanced Machine Learning) , and Prof. Dr. Hartwig Anzt (TUM CIT, Computational
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error-correcting codes, establishing fundamental performance limits, and building practical decoding algorithms and architectures. Your research will sit at the interface between the classical and quantum
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sensor data, including LIDAR and camera inputs, for robotics and automation applications. Conduct outdoor vehicle trials for testing and validation of perception, navigation algorithms, and self-driving