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optimization layers Increase inference efficiency (e.g., GPU acceleration) and assess the applicability domain of learned algorithms Publish and present your results in peer-reviewed journals and at
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with the domain of optical material behavior acquisition at a decent pace. What you bring to the table Very good C++ programming skills GPU & Shader programming, ideally knowledge of PBR (Physically
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the necessary algorithms. You will also develop and document a graphical user interface which handles large processing tasks efficiently and uses multiprocessing and GPU acceleration where necessary. At the same
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interface which handles large processing tasks efficiently and uses multiprocessing and GPU acceleration where necessary. At the same time, the software must be lean enough to run not only on powerful
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construction is being developed. It enables architects and planners to implement building designs significantly faster and more efficiently by combining generative design, automated floor plan creation
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for working collaboratively within an interdisciplinary team, pushing the boundaries in remote sensing, CV, ML, and neuroscience Enrolled in a master's programme of computer science, mathematics, statistics
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learning experiments Conduct applied research on exciting projects Prepare presentations and papers Test software and frameworks What you contribute You are currently enrolled in a master’s program in
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Testing software and frameworks for 3D reconstruction pipelines What you contribute Enrolled in a master’s program (Berlin/Brandenburg) in computer science, mathematics, statistics, physics, electrical
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-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing
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GPU-capable, parallelized simulation frameworks. Work closely with experts in HPC and power systems to enhance scalability and computational performance. Disseminate your findings through scientific