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Field
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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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socially just energy supply system based on renewable energies. We contribute to this with our research focus on energy supply, energy distribution, energy storage and energy use. Through outstanding
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you will do Driving innovative AI research through the development and implementation, practical application, theoretical analysis and evaluation of AI algorithms Use of XAI tools to explain machine
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. This role will build on the success and experience of the existing team at developing a global workflow for high spatiotemporal resolution avian distributions and population trends, and for applying
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socially just energy supply system based on renewable energies. We contribute to this with our research focus on energy supply, energy distribution, energy storage and energy use. Through outstanding
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distributed tasks such as inspection of a big geographic area for fires is an important objective of this project. The project aims are to: 1) provide methodological contributions towards intelligent sensing
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out research on distributed acoustic sensing (DAS) data analysis and participate in continued development on the inclusion of DAS data within the network monitoring systems. We seek applicants who like
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Microscaling Data Formats for Deep Learning INT4 Decoding GQA CUDA Optimizations for LLM Inference Pruning and Distillation to Enable Llama 3.2 1B and 3B Models Suitable for Mobile Devices PyTorch Distributed
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. Wallace (1996). MML estimation of the parameters of the spherical Fisher Distribution. In S. Arikawa and A. K. Sharma (eds.) , Proc. 7th International Workshop on Algorithmic Learning Theory (ALT'96
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role in communication, radar, imaging, and measurement systems. This project focuses on developing advanced theoretical frameworks, algorithms, and methodologies for analysing, designing, and