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& Training, Network Programming (UDP/TCP/ZeroMQ), API Development, CUDA programming, python programming, Hardware Acceleration, strong verbal and written communication skills necessary for writing research
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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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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 16 hours agoshared memory node parallel programming models (e.g. OpenMP, CUDA/HIP, Kokkos, etc.) o the composition of communication libraries and node parallel programming (e.g. MPI+X). o I/O communication
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scientific computing ecosystems and/or libraries (e.g. HPC clusters, cheminformatics tools such as RDKit). Competency in CUDA or other GPU APIs is highly desired but not required. • Familiarity with laboratory
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to the development of the HashBrick library, an open source framework for adaptive mesh refinement, written in CUDA and supporting one-sided communication for scalability. The target architecture is a supercomputer
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architectures. Write technical articles for magazines and conferences. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-research-s… Requirements Research FieldPhysics
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modules, AWS, Azure, GCP, or comparable services. Experience supporting GPU, AI/ML, CPU-intensive, statistical, imaging, compiler/toolchain, Fortran, MATLAB, R, Python, CUDA, or other discipline-specific
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 3 months ago
and GPU computing infrastructure (CUDA, etc.). Solid understanding of IT security principles (ISO 27001, NIS2) and data protection laws (DSGVO, DSG) as applied to both enterprise and research data
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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
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transfer (CHT) or fluidic manifold optimization Experience with machine learning/AI (PyTorch or TensorFlow), reduced-order modeling (ROM), or data assimilation (DA) Experience with GPU programming (CUDA and