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strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high
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domain-specific support to researchers working in artificial intelligence, machine learning, and data analytics. Enable researchers from different disciplines to apply appropriate machine learning and data
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strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high
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computer vision. Unlike traditional engineering research roles, this position functions as a specialized Research Software Architect, bridging the gap between photogrammetry and modern generative AI
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optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a
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specialists and set clear priorities to realize projects effectively and on time, building infrastructure that makes complex analyses faster and more efficient. Your team optimizes virtual computing power (GPUs
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an advection-diffusion equation for different sediment grain sizes and vertical levels rapidly dominates the computational time and does not currently allow to perform numerical simulations over more than a few
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academic setting Proficient in at least two programming languages used in research (e.g. Python, C++, Fortran) Experience with programming paradigms used in HPC (e.g., MPI, GPU-programming) Experience
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domain-specific support to researchers working in artificial intelligence, machine learning, and data analytics. Enable researchers from different disciplines to apply appropriate machine learning and data
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to the Wallenberg AI, Autonomous Systems and Software Program (WASP). This enables interaction with researchers from different research fields and access to various scientific and technical expertise. Data-driven