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Field
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
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management of a state-of-the-art medical imaging research data center. The environment includes a robust multi-CPU/GPU architecture with virtual and physical servers, supporting advanced parallel computation
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news engineering (Television Studio / Control Room) or multimedia production experience. Experience with photography, cameras and/or audio recorders. Experience in computer video editing and graphic
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, Git, Azure Data Studio, pandas, NumPy, and Scikit-learn. Experience with High-Performance Computing (HPC) platforms with advanced skills in SLURM-based multi-node, multi-GPU training, data parallelism
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for master’s studies for Belgians or Luxembourgers Scholarships for (pre)doctoral or post-doctoral research or lecturing for Belgians or Luxembourgers Travel and accommodation for Teaching Assistants Programme
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preparation. Contribution to abstract submission and presentation of results at national meetings (e.g., ARVO). This work parallels and builds on efforts already underway in neovascular AMD and has significant
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-performance computing (HPC), parallel computing frameworks (such as MPI, OpenMP) and GPU acceleration. Proven experience administering, configuring, and optimising HPC clusters and GPU systems (e.g. CUDA
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working with Infiniband and parallel filesystems (Lustre, GPFS) is a plus. Experience managing Linux/UNIX operating systems in a heterogeneous environment. Solid understanding of networked computing
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Position Summary: The University of Dayton Research Institute (UDRI) is seeking a talented and driven Senior Computer Engineer to join our cutting-edge Applied Sensing division. This is an
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Position Summary: Are you a talented and experienced computer engineer seeking to make a lasting impact on cutting-edge research and innovation? Look no further than the Applied Sensing division