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Field
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prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens
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University of California, Los Angeles | Los Angeles, California | United States | about 16 hours ago
forests, gradient-boosting methods, PLS-based approaches, neural networks, or related methods is preferred. Experience with feature selection, model interpretation, cross-validation, external validation
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analysis. Secure and maintain research ethics approval and manage data in line with University policy, funder requirements and applicable data protection law. Maintain transparent and reproducible research
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a scaffold, we aim to guide the growth of a chitinous fungal network through the material. The result would be a new class of living composite materials that are not only structurally resilient but
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, industry, federal agencies, NGOs, or other approved facilities to accomplish your research goals, all while networking with top scientists in the field. You will enhance your education and training in marine
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agencies, NGOs, or other approved facilities to accomplish your research goals, all while networking with top scientists in the field. You will enhance your education and training in marine energy, increase
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-information science. The faculty works closely with other faculties, universities, private parties, and the public sector, and has an extensive network in the Netherlands as well as internationally. Click here to go
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mechanisms, approaches, and networks which will serve as the basis for a longer second phase (approval pending) which will build and expand this work. Through this postdoc, we aim to develop approaches
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while collaborating across a multi-institutional research network. Join a nationally recognized research environment committed to innovation, collaboration, diversity, equity, and inclusion. Benefit from
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scientific publications. The work will be conducted within the UK Quantum Technology Hub in Integrated Quantum Networks (IQN) under the supervision of Prof Alessandro Fedrizzi. For more information, please