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in rivers or estuaries with applications to plastic transport. The transport models will be included in existing shallow-water solvers running in hybrid CPU-GPU architectures. The expected workplan
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, considering discrete modulation; Contribute to the implementation of digital signal processing algorithms in a FPGA platform; Contribute to the implementation of information reconciliation algorithms in a GPU
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- Competitive stipend under the Portuguese FCT MSc grant scheme; - Access to GPU clusters and cloud resources; - Travel and equipment budget for conferences, training, and research visits; - Active involvement in
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grant scheme; - Access to GPU clusters and cloud resources; - Travel and equipment budget for conferences, training, and research visits; - Active involvement in the Instituto de Telecomunicações, INESC
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emphasis on programmability and the characterization of AI capabilities in CPUs, GPUs, and dedicated accelerators; Identification of computational patterns suited to AI-enhanced processors and standalone