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cryptography. We also offer: World-class facilities: Access to state-of-the-art local High-Performance Computing through CPU and GPU clusters at the SDU eScience Centre , as well as to national and European
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). Experience with distributed systems, GPU computing, or cloud-based simulation environments. Knowledge of human-in-the-loop simulation, training effectiveness evaluation, or synthetic environments. Experience
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understanding of the different services that are delivered by ARCCA. You will employ excellent communication skills within the team, be eager to develop your skillset, and have the enthusiasm and technical
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for prototyping. Interest and affinity for high-performance computing are necessary for the position. You should have experience with the roofline model and familiarity with a profiler . Experience with GPUs is a
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develop various tools that make the design of microfluidic chips easier and solve, e.g., routing and placing problems under different constraints, depending on the use case. Simulation: We use and develop