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algorithms and methods for calibrated Bayesian federated learning for trustworthy collaborative Bayesian learning on data from multiple participants. The project will develop new methods, theory, and
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aspects of software development (DevOps, Algorithms etc.) or informatics (e.g., content design, user experience design and human-computer interaction). You are expected to build and maintain an academic and
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meritorious. Experience with machine learning algorithms and coding for material applications is highly meritorious. Experience in ab-initio and DFT calculations of solid materials, are both meritorious. What
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is central to tomorrow’s computing systems. You will lead a research group with strong expertise in algorithms, computational models, software engineering, and resource-efficient, intelligent systems
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and the University of Gothenburg. DSAI conducts internationally recognized research of high quality in the core areas of modern AI, computer science, and algorithms. The division also includes research
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. This involves formulation, implementation, and validation of novel hybrid models. The study emphasizes methodological innovation, scalable algorithms, and translation to industrially relevant multiphase reactors
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. This involves formulation, implementation, and validation of novel hybrid models. The study emphasizes methodological innovation, scalable algorithms, and translation to industrially relevant multiphase reactors
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to continuation as a researcher at Ericsson Research. Practical work tasks include: Developing algorithms and models for dynamic spectrum sharing using RDT data Implementing and evaluating signal processing and
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to pioneer novel research opportunities enabled by one of the brightest sources in the world, ii) developing AI+Physics end-to-end reconstruction algorithms that will enable a new regime of spatiotemporal
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focuses on the design of approximation algorithms for multi-dimensional packing and scheduling problems. The position offers the opportunity to contribute to the theoretical foundations of discrete