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NEST: https://nest-simulator.readthedocs.io Your tasks in detail: Work with the NEST main code base and experimental branches Dissect the spiking network simulation cycle into phases and capture the flow
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-machine system interactions. The project seeks to identify key mechanisms affecting transient stability and to provide modelling and analysis tools that support robust control and protection design for
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impacts of Iodine-131 releases, based on detailed knowledge of its physico-chemical processing in the atmosphere including the important inter-halogen reactions. Model findings will be cross-compared
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-learning–based segmentation, species classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
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algorithms for dynamic master selection, coordinating BESS, PV, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python
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of control mechanisms and evaluation methods that hold regardless of which underlying TTS technology is used. This is a core requirement in a field where generative AI models evolve rapidly. We
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
element of the terrestrial carbon cycle. NASA's Goddard Earth Observing System Model (GEOS) utilizes the Quick Fire Emissions Dataset (QFED) to represent emissions from vegetation fires in order to model
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Université Paris-Saclay GS Biosphera - Biologie, Société, Ecologie & Environnement, Ressources, Agriculture & Alimentation | Gif sur Yvette, le de France | France | 2 days ago
an integrative multi-omics approach, combining phenotypic, transcriptomic, epigenomic, and genomic data. The project is based on a robust model system centered on Malus sylvestris, one of the wild progenitors
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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a distributed energy optimization local controllers leading to the grid edge conceptual