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-inspired selection). 3-Investigate the integration of QIEC with Quality-Diversity (QD) algorithms such as MAP-Elites.(month 2-3) 4-Explore the use of Evolutionary Computation to generate and optimize quantum
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: - Consolidated knowledge in ECC and LDPC algorithms - Consolidated knowledge in hardware description languages and hardware-prototyping toolchains (e.g., Xilinx Vivado) - Knowledge in FPGA
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study its impact on the degree of collaboration in hybrid teams. The successful candidate will: Develop algorithms to model team performance based on interpersonal (e.g., monitoring, communication) and
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of endemic viruses and the emergence of novel influenza viruses with pandemic potential in swine. Using the data provided by the USDA Influenza A virus in swine passive surveillance system, genetic evolution
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of three-dimensional inference algorithms from object views, based on Generative Networks for Robotics Applications. V - Initial grant duration: 5 months, as long as it doesn't go beyond the end date
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Intelligence and Algorithms – 30%; VII.II- I – In the evaluation of the interview, candidates' performance will be assessed according to the following weights and criteria: - Criterion 1: Knowledge and profile
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well as bioinformatics. Preferred or Related Degrees: Biology / Environmental Sciences Preferred or Related Master’s Degrees: Master’s in Fundamental Biology, Genetics and Evolution, Conservation Biology, or similar
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simulation of algorithms for detecting intermittent faults in compensated networks. Identification and testing of conditions for selective protection of intermittent faults in meshed and radial networks
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data that are generated by human activity, including computational social science (e.g., algorithmic accountability and the interplay of data science with policy, law, and institutions), the economics
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of information in their daily lives - from local news to institutional messaging and algorithmically curated feeds. We are investigating how trust forms, erodes, and gets repaired, and how technologies