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Field
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Department of Statistics (DE-UFSCar) and the University of São Paulo's São Carlos Institute of Mathematical and Computer Sciences (ICMC-USP). The fellow will be based at UFSCar. The position is open to
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gene expression and processing (i.e transcription and RNA splicing). Some specific projects include 1) understanding how particular arrangements of sequence elements are read by the splicing machinery, 2
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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-intensive as abundantly present oxygen in the biomass must be removed, which in most cases also means increasing the number of process steps required. Novel plastics have the potential for more efficient
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effectively with research institutes, industry, colleagues and other stakeholders. The work requires initiative, independence and responsibility. The project interacts closely with other parallel projects and
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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to cutting-edge research aimed at transforming scientific data management and workflows to enable AI-readiness at scale. You will work on designing system software for automating processes such as intelligent
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration
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developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation of results. Deliver ORNL’s mission by aligning
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workflows to enable AI-readiness at scale. You will work on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed