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Field
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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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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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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 approaches to other
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towards improving controllers in turbulent flows. On any given day, you may be called on to: Own and execute novel machine-learning workflows related to wind conditions and control performance. Post-process
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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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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 approaches to other aspects
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. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We
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website . Application procedure The application file contains: an American CV a carefully substantiated research or study proposal (personal statement) (including why study/conduct research in the US; what
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computing (HPC) and parallel processing to enable the analysis of massive datasets. Experience in advanced statistical inference (e.g., Bayesian statistics, spectral methods) for extracting robust patterns
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concerns, particularly due to its slow renewability and the ecological impacts associated with peatland degradation and greenhouse gas emissions. In parallel with broader efforts to identify more sustainable