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and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries
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settings. Specific Duties & Responsibilities 70% Systems Engineering, Administration, Security, and Oversight Work with Sr staff to design, organize, plan, test and implement cutting-edge hardware designs
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programs for work management, retrieve workflow information, job assignments and material and labor data entry. Must be accurate and timely in the use of the Computerized Maintenance Management System (CMMS
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. Proficiency in Python programming and major ML/DL frameworks (e.g., PyTorch, TensorFlow). Solid understanding of optimization and regularization methods for training complex neural networks. Practical knowledge
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of scientific activities (1 conference, 1 research school, 1 or 2 workshops, 2 paired research projects + any other parallel activities such as Masterclasses, FRUMAM conferences, etc.). It is organized
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. Strong scripting skills (e.g., Bash, Python) to automate tasks, develop tools, and streamline workflows. Comprehensive understanding of HPC infrastructure, cluster management, parallel computing, and
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, pursuing their own research project during the mobility period, parallel to joining a research group and having a host supervisor at Lund University. For information about eligibility and selection criteria
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organize workshops, networking sessions, and pitch events to strengthen engagement with innovators, industry partners, and investors. In parallel, the Program Manager will support the Fund by managing
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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to statistics and data science, behavioral economics to social and political history, Dietrich College is home to 11 humanities and sciences departments, programs and institutes. Our world-class faculty and