13 software-defined-network-postdoc Postdoctoral positions at King Abdullah University of Science and Technology
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experience working with FPGA-based networking platforms/frameworks such as NetFPGA, Corundum, Xilinx OpenNIC, or the ETHZ HLS TCP/IP Stack. Familiarity with Software Defined Networking, SmartNICs, RDMA is an
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This postdoc position is designed for a specialist in the fabrication and development of large-scale perovskite solar cells and modules. For this position, we are looking for a candidate with an
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This postdoc position is for a specialist in the fabrication of silicon heterojunction solar cells to be integrated into monolithic silicon perovskite tandem solar cells. For this position, we
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Zamborain-Mason, and will collaborate closely with an exceptional network of researchers and practitioners, including Professors Joshua Cinner (University of Sydney), Christina Hicks (Lancaster University
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and international network of leading scientists and practitioners, including Professors Christopher Golden (Harvard University), James Robinson (Lancaster University), and Christina Hicks (Lancaster
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Geological Carbon Storage (GCS) is an important geo-solution to mitigate the increasing global carbon emission in order to meet the goal of Paris Climate Agreement. For the purpose of GCS management, numerical simulators with coupled physics (flow/reactive/geo-mechanics/thermal) have been...
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of mineral deposits, it is probably the country with the most exciting mineral exploration opportunities right now. Conditions and life at KAUST Applications are sought for a two-year Postdoc position
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types of mineral deposits, it is probably the country with the most exciting mineral exploration opportunities right now. Conditions and life at KAUST Applications are sought for a two-year Postdoc
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aging. · Inistu characterization of mechanical and fracture performance of polymer composites. · Correlation between microstructure and mechanical changes allowing defining the root cause
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization