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RAP opportunity at National Institute of Standards and Technology NIST Algorithms for Compound Identification by Mass Spectrometry Location Material Measurement Laboratory, Biomolecular
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algorithmic expertise to lead and support cutting-edge research in long-read genomics, tandem repeat (TR) analysis, and population-scale variant discovery. Our group develops novel methods and performs large
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Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP solvers usually run a sequence of algorithms to solve
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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real
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for these species are limited, and predictive algorithms already integrated into such devices, capable of identifying and classifying animal behaviors based on a reference ethogram, are still lacking. This project
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techniques to design new and efficient algorithms that can provide strong protection during the entire life cycle of ML models used on the devices. Research Task I: Investigate ML algorithms and optimisations
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Research Infrastructure? No Offer Description COMPETITION OPENING DATE DECEMBER 5, 2025 As part of the ERC Advanced Quantum Algorithms, a PhD position in the Gull group at the University of Warsaw is
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind
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. The project will focus on automated distributional shift detection and monitoring, invariant and distributionally robust representation learning algorithms, and deployment-time calibration with uncertainty