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Field
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avoidance, autonomous exploration, frontier selection, and localization-aware trajectory planning. Develop high accuracy point cloud registration and mapping workflows. Plan and conduct experiments
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AI, …) and relevant programming frameworks Advanced programming skills in relevant programming languages and contexts (e.g., Python, HPC/GPU programming, big data applications) Strong team spirit and
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relevant programming frameworks Advanced programming skills in relevant programming languages and contexts (e.g., Python, HPC/GPU programming, big data applications) Strong team spirit and experience in
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with SO faculty and scholars in the Department of Astronomy. UA/SO offers a world-class research environment in space science and astrophysics, with strong interdisciplinary programs across
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results at international conferences Your profile PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Experience with programming in Python, R
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on to: Develop and extend neural-inspired artificial intelligence algorithms; Research theoretical principles and foundations necessary for model interpretability and introspection; Program and test algorithms
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backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician
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2026 - 15:37 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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atmospheric modeling, artificial intelligence, and near real-time applications. The successful candidates will contribute to the development of high-performance and GPU-enabled modeling tools for wildfire
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programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience with software development. Experience with use of GPUs, multi-core CPUs, advanced computing (e.g., QPUs