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of Stellar Systems' research group and the Department of Astrophysics. Your profile: • You must hold a Doctoral/PhD degree in astronomy/astrophysics with affinity for programming, or in computer
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distributed computing or HPC environments. Additional Information: Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is
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and integration of fields of astronomy, planetary sciences, biological sciences, humanities, social sciences, arts, and more to explore the origins, evolution, distribution, and future of life on Earth
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hydrodynamics and/or N-body simulations in the star and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be
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Computer Science or a closely related discipline. Strong research background in computer systems includes, but is not limited to, operating systems, networks, embedded systems, parallel or distributed
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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science education, computer vision, cybersecurity, data mining, high-performance computing, human factors in computing, Internet of Things, parallel and distributed computing, social computing, software engineering
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funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number HORIZON-ERC-2024-ADG Is the Job related to staff position within a Research Infrastructure? No Offer Description
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Application Deadline 29 Oct 2025 - 22:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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parallel processing, distributed computing, and resource management techniques for efficient resource utilization. Resource Allocation: Oversee the allocation of computational resources, ensuring scalability