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-intensive process because it is shown to be a leading driver of computational accuracy. As a result, for certain use cases of interest to ORNL, we are in need of an applications engineer capable of generating
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simple encoder. A possible approach will thus consist of extending this model to be able to map multiple contours, and to process data at multiple resolutions. We can also rely on other recent methods
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the BEAT project. In parallel, qualitative research methods, especially from affective interaction design, are used to capture the emotional and experiential aspects of navigating urban spaces. These methods
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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technologies, massively parallel genetic perturbations (deep mutational scanning), spatial biology, functional genomics, or highly scalable biochemical experimental strategies. In addition to providing access
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scalable experimental and computational approaches is hence considered a big plus. Experimental technologies will cover (but are not limited to) single-cell technologies, massively parallel genetic
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simulation environments and real-world deployments with the nano-drones of the University's SwarmLab The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT
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, bandwidth, and multi-condition operation. To design and fabricate reconfigurable metasurface prototypes that implement a global tuning mechanism, and to experimentally characterize their electromagnetic
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and computational approaches, including in vivo Massively Parallel Reporter Assays (MPRAs), to define the sequence basis and functional consequences of enhancer activity and to expand MPRA-based
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. The Department has grown substantially in the past 15 years, from 40 to 120 faculty in parallel with the remarkable growth of our hospital-based affiliates as well as the city and county of Denver. Our work is