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computational tools for equilibrium computation in multi-agent games. The work will focus on: Scalable algorithms for various equilibrium problems in multi-agent games; Open-source computational tools and
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programming, algorithms and data structures, and databases, both relational and NoSQL) and in distributed systems and cloud computing (virtualisation and containerisation, cloud platforms, and data management
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Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experience in the area of designing algorithms and methods for data privacy and machine learning is
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partners. Who we are looking for The following requirements are mandatory: A doctoral degree in mechanical engineering, mathematics, physics, computer science, or a relevant field of fluid or structural
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meritorious if you provide transcripts with documented coursework in algorithms, theory of computing, quantum computing, and discrete mathematics. provide published work on the design or analysis of modes
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: Integrated sensing and communication Cell-free massive MIMO beamforming, and MIMO algorithms Joint optimization of communication and computing resources Preferred qualifications A doctoral degree or an
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
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, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment, to study
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics