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of FPGA-based accelerators, high-level synthesis for FPGA design (HLS), quantisation of deep neural networks, large language models (LLMs). strong problem solving and analytical skills Sponsorship
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approaches and will integrate novel hardware (including electrode arrays, microdevices, analytical systems) into automated robotic pipelines You will also apply machine learning-based analyses to imaging and
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, we aim to establish proof-of-concept yeast immunogens as a foundation for next-generation anti-fungal vaccine candidates. You are expected to take a lead investigator role with support from senior team
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legality, or between tailormade solutions and bureaucratic efficiency. In practice, there are many examples where these tensions ultimately lead to system failure or disadvantaged groups of citizens
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sophisticated analytic and computational tools and will have a demonstrated record of their use. This position is located at GW’s Foggy Bottom campus in Washington, DC, and will report to the Institute’s Co
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conducting lifetime modeling, developing advanced condition monitoring techniques, and applying data-driven analytics for lifetime prediction. You will play a central role in integrating experimental insights
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analysis, working under supervision to analyze data using established methods and assist in developing new analytical approaches for these imaging datasets. The Biostatistician will apply complex data
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sequencing data. The Rube lab is an inclusive and collaborative environment that prioritizes team science. The postdoctoral scholar will have opportunities to both contribute to and lead research projects
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engaged in experimental and analytical work focused on the recycling of textiles through thermochemical and solvent-based processes. A central part of the role involves operating both pyrolysis and
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nanoparticles, preferably using chromatography techniques (e.g. affinity, ion exchange); Experience in bioconjugation techniques for coupling recombinant proteins to nanoparticles; Experience in analytical