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candidate will demonstrate a record of excellence in one or more core areas of quantum information, such as quantum computing, quantum algorithms, quantum simulation, quantum networks, or quantum sensing
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Itay Kaplan Logic, model theory David Kazhdan Representation theory Ori Gurel-Gurevich Probability, random walks, random graphs, probabalistic algorithms Noam Lifshitz Extremal combinatorics
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algorithms. The relevant processes at the individual vessel level can be modelled in detail, and their performance can be tracked in time and space. Corridor scale effects will be simulated by aggregating
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Requirements REQUIRED: Ph.D. in computer science, mechanical engineering, applied math, or related field with significant research experience in machine-learning/AI algorithm development, specifically in deep
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industrial conditions. Keywords: Artificial intelligence, autonomy, digital twin, edge computing, UAV systems. Objectives: Support the development of AI and machine learning algorithms for autonomous
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27 Jun 2026 Job Information Organisation/Company University of Turku Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Application Deadline 17 Aug 2026 - 13:00
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3 Jul 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Programming Computer science » Other Engineering » Communication engineering
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analysis and interpretation of multidimensional microscopy datasets, integrating image processing, spectroscopy, diffraction, and computational methods to extract meaningful scientific insights. 3) Lead the
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 12 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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to address longstanding structural problems and inequalities. A substantial body of critical scholarship has highlighted the risks of algorithmic bias, the digital exclusion of individuals who already face