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University is home to Türkiye’s largest GPU cluster, providing advanced infrastructure for leading-edge AI research. The Department of Computer Science and Engineering at Koç University has world-renowned
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Windows and Linux virtual machines for research and instructional purposes, including the allocation and optimization of GPU resources. Develop and maintain scripts and simple web applications to support
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obtained. The simulation activities must be conducted using high-performance scientific computing systems, with particular reference to the use of advanced architectures and GPU accelerators, in order to
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modules, and monitor training progress. Display performance metrics (e.g., inference time, GPU utilization, throughput, ROI impact) in real time. System Integration Work with the research team to connect AI
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general experience in software development, computing, GPU computing, and data management for the support of AI projects. An ideal candidate also has a good understanding of recent advancement in AI and
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have access to state-of-the-art facilities and major cyberinfrastructure investments, including the Advanced Research Computing Center (ARCC), the NCAR-Wyoming Supercomputing Center (NWSC), GPU computing
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of computational computing clusters including, but not limited to GPU clusters, General HPC clusters, and SMP environments. Experience with Centos or similar Linux distributions. Experience with programming jobs
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for candidates with experience in ML model deployment, workflow orchestration, and high-throughput data processing, as well as experience working with large biological datasets in scalable GPU-based computing
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datasets in scalable GPU-based computing environments. What we provide: A competitive compensation package, with comprehensive health and welfare benefits. A supportive team environment that promotes
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wide range of academic fields, Ghent University is a logical choice for its staff and students. Image Processing and Interpretation (IPI, http://ipi.ugent.be ) is an imec research group at Ghent