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multicore fiber (MCF) for 6G. This includes: Design and implement an optical 3D sensing unit using multicore fiber (MCF) with improved frame rate and resolution. Adapt existing LiDAR prototypes to employ
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; Aridhi Slaheddine (2014) “PREESM: A Dataflow-Based Rapid Prototyping Framework for Simplifying Multicore DSP Programming”. EDERC 2014, Milan, Italy. Where to apply E-mail [email protected]
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performance engineering multithreaded code running on modern multicore hardware. Excellent critical thinking skills. Good oral and written communication skills. Preferred Qualifications Education: Master’s
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optimization engines for memory-aware deployment, compiler and runtime systems capable of supporting dynamic neural network topologies, energy-efficient embedded AI frameworks targeting RISC-V multicore and
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of the following tasks: Development of digital signal processing (DSP) algorithms and subsystems for optical communications, including support to multicore fiber transmission; Implementation of the developed DSP
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. Preferred Qualifications Familiarity with the Julia language, including package development and performance optimization. Experience working with high-performance computing systems, including multicore
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types, from multicore and grab samples to specialized collection needs, while also carrying the critical responsibility of conducting large-diameter piston coring and deep-rock dredging aboard the U.S
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.ICDT). Scientific Area: Optical Communications Group: Optical Communication Systems and Networking – Av Work Objectives: Design novel optical transceivers for multicore fiber systems that represent a
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the upcoming RISC-V-based multiprocessor systems developed in the European DARE project . The focus of DARE are long vector/matrix multicore architectures. The goal of our team is to develop effective runtime
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systems. The following experience will strengthen your application: Knowledge on embedded system, DSP, and multicore processor. Spirit and personal skill for collaboration with colleagues and industrial