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representation, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
join our multi-disciplinary team to work on algorithms for mass spectrometry data analysis. The Becker group is working in close collaboration with Johannes Köster at the Institute for AI in Medicine
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representation, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
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marine vehicles; Design algorithmic tools for modeling, control, and networking of distributed marine operations; Review and evaluate the results of the simulations, experiments, and/or tests; Write
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 2 months ago
. the aerosol indirect effect. Opportunities also exist for the advancement of radiative transfer model algorithms to improve both the physical representation and speed of computations. These algorithms
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into algorithms for the Lov sz Local Lemma and related problems in distributed and parallel models. Research will primarily be conducted in collaboration with Dr. Davies-Peck, but successful applicants will also be
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in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team. While programming
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. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimizing PIC algorithms
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integrate machine learning algorithms and Earth System Models to emulate carbon processes in the ocean connected to the biological activities. You will be enrolled in DTU’s Section for Oceans and Arctic and
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identifying climate-resilient restoration sites in the Baltic Sea. The project integrates regional climate modeling, AI-driven simulations, and biogeochemical modeling to predict seagrass distribution under