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tracking), dataset curation, HPC/GPU programming, blockchain for secure data, C-family languages, and embodied AI/robotics are a plus. Experience with general network resilience, cellular automata
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, Taiwan [map ] Subject Area: Astronomy / Astronomy and Astrophysics Appl Deadline: 2025/11/15 11:59PM (posted 2025/10/10, updated 2025/10/08, listed until 2025/11/15) Position Description: Apply Today is
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, Taiwan [map ] Subject Area: Astronomy / Astronomy and Astrophysics Appl Deadline: (posted 2025/10/10, updated 2025/10/07, listed until 2025/11/15) Position Description: Apply Today is the last day you can
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, United States of America [map ] Subject Area: Computational Science / Artificial Intelligence/Machine Learning Appl Deadline: (posted 2025/11/19, listed until 2026/01/26) Position Description: Apply Position Description
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datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU
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(Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through the CASS network. NYUAD also has guaranteed observing time on the Green Bank
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modelling, and neuroimaging. The position provides access to high-performance computing resources, including GPUs and supercomputing clusters, for advanced simulations of cerebral blood flow and molecular
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, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
. The postdoctoral scholar will be expected to improve on existing GPU-accelerated ocean models and develop laboratory experiments (in the Joint Fluids Lab at UNC), analyze results, publish in peer-reviewed journals
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contact, as identified by AFRL through recent past efforts. This includes the implementation of relevant algorithms and solvers for distributed GPU computing within the JAX Python library. Qualifications