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Field
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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 a solid background in computational electromagnetics and a good understanding of the physics of scattering and antenna radiation. Programming experience in C/C++ is necessary while 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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Deadline 20 Aug 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state-of-the-art IT infrastructure. Ideal
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one or more of the following areas: Programming, Algorithms and computational complexity, Programming languages and compilers, Computer graphics, and Parallel and GPU computing. A typical teaching
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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