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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Posting Information Posting Details Department Computer Science - 318400 Posting Open Date 06/16/2026 Application Deadline 09/14/2026 Open Until Filled No Position Type Postdoctoral Scholar Position
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. The tasks include battery cell characterization and modelling based on laboratory tests, and development of algorithms for estimating the charge level, health, and power capability which includes robustness
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(Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a
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Research Associate in Logical Foundations of Planning. In this role you will work closely with Dr Rubin on research projects, and contribute to the collegial culture of the Sydney Algorithms and Computing
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scientist to carry out a research programme focused on developing novel ultrafast light-source technologies in gas-filled hollow-core anti-resonant fibres. The role will involve working in close collaboration
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to quantify the impacts of new component technologies, control algorithms and powertrain architectures with focus on advanced technologies. The candidate will assist on projects to benchmark next generation
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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