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1st February 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Algorithms and Extremal Combinatorics Apply for this job See advertisement UiB - Knowledge that shapes
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matrices only model networks with one kind of objects or relations between the objects. Many real world networks have a multidimensional nature such as networks that contain multiple connections
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Summary Post-Doctoral Positions Atomic Physics/Quantum Information Indiana University, Bloomington Multiple post-doctoral positions are available in the Trapped Ion Quantum Information group at Indiana
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) Research Experience: Relevant research experience in related problem domains, or research experience in scheduling, routing, and multi-agent pathfinding (MAPF) algorithms - Experience across multiple areas
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-series modeling, and clustering algorithms. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple HEP experiments
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for hearing devices in dynamic acoustic environments with multiple talkers, including algorithm design, implementation, and experimental validation. A central element is the use of multi-modal sensor data, e.g
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multi-agent pathfinding (MAPF) algorithms - Experience across multiple areas is a strong plus; Experience developing ML-based optimization approaches is a strong plus; A strong publication track record is
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High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time-series modeling, and clustering algorithms
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storage, and organic optoelectronics intelligent and advanced polymers and materials. Project description: The Lithium-ion battery comprises multiple individual units known as "cells." Any deterioration
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digital twins using prediction-powered inference to enhance reliability assessment; The theoretical analysis and algorithmic development of methods rooted in statistical learning theory, multiple hypothesis