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. Solid programming skills (e.g. C++ and Python); experience with GPU computing (CUDA), high-performance computing or machine learning is a plus. A strong interest in radiative transfer, clouds and
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. Experience designing or adapting architectures rather than only applying existing ones. Real-time and resource-constrained inference: quantisation, pruning, distillation, CUDA, embedded accelerators. C
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selection criteria Good oral and written presentation skills in Norwegian, or another scandinavian language Experience with the CUDA programming model for general-purpose GPUs Experience with the OpenCL
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simulators. CUDA. C++. Python. Other requirements to consider: Motivation and organizational skills. Analytical capacity and rigor. Multidisciplinary fit into an international research group. Specific
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, optimization, or high-performance computing is highly desirable Experience with quantum software frameworks (e.g., Qiskit, PennyLane, Cirq) or HPC programming (MPI, OpenMP, CUDA, GPU computing) is considered