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22nd November 2025 Languages English English English We are looking for a Postdoctoral Fellow in Anomaly Detection in Graph Data Apply for this job See advertisement This is NTNU NTNU is a broad
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is $83,985. In addition PDFs will be allocated a travel fund to support their work. Project title Learning Driver Attention Strategies in Adverse Weather Using Graph-Based Inverse Reinforcement
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The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model that can
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The role The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model
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. Skills in data science, artificial intelligence, and health informatics. Strong written and verbal communication skills regarding research results. Preferred Qualifications: Experience with deep/graph
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knowledge graphs to develop and test new measures of innovative potential. The project will also assess how these measures relate to multiple indicators of research impact in biomedical research, with a
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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of the algorithms research group. We are looking for excellent candidates with a background and experience in one or more of the following areas: graph algorithms, parameterized complexity, approximation algorithms
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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Matter Physics o Physical Chemistry and Theoretical Chemistry o Combinatorics, Algorithm, Extremal Graph Theory, Computing Theory o Programming Language, AI Theory or Machine Learning o Classical and