10 software-testing Postdoctoral positions at King Abdullah University of Science and Technology in Saudi Arabia
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platform in the field of testing composite materials for in-situ testing in conditions relevant to the energy sector (high pressure, high temperature, extreme environments). Participate in the generation
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experience in agronomy, soil science, engineering methods, and precision agriculture in semi- and hyper-arid regions. Specifically, we will be testing the effects of soil amendment technologies pioneered by
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techniques such as XRD, SEM, TEM, BET, Raman spectroscopy, and electrochemical testing. Collaborate with interdisciplinary teams, including chemists, material scientists, and engineers. Manage day-to-day
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expertise incorporates three main areas: Design of materials in representative environments of energy applications: In-situ testing facilities and characterization techniques (Generation of unique databases
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expertise incorporates three main areas: Design of materials in representative environments of energy applications: In-situ testing facilities and characterization techniques (Generation of unique databases
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using a combination of multimodal imaging, computer vision, and lab automation platforms that govern entire workflows (e.g. ThermoFisher momentum software scheduling Hamilton liquid handlers and high-end
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electrochemical characterizations of synthesized hard carbon materials. Analyze material performance using advanced techniques such as XRD, SEM, TEM, BET, Raman spectroscopy, and electrochemical testing
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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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expertise in testing interfaces at the low scale with applications to the energy sector, such as photovoltaic and/or piping systems. Responsibilities: Develop innovative in-situ testing facilities
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: In-situ testing facilities and characterization techniques (Generation of unique databases on well-identified frames), validated models in operational conditions (New models based on real in-situ