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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
for a networked research and innovation landscape. The focus of this work is on designing semantic knowledge models for digital materials research at the intersection of materials science and knowledge
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 23 hours ago
of basic and applied research Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment Contribute to answers for today's pressing scientific
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development and provide a broad range of opportunities to enable them to reach their full potential. University club - All staff are entitled to free membership of the University Club. It offers social and
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social considerations, and ethical and legal issues. The findings will help inform clinical, policy and regulatory decision-making around the implementation of these technologies. A key component of the
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photonic quantum devices for a heterogeneous quantum network, including but not limited to superconducting qubits, microwave-optical quantum transducers, etc. The postdocs will design the devices, fabricate
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Business School and the Stockholm School of Economics with a network of collaborating scholars, primarily at European universities. Previous postdocs from the group have gone on to academic positions at well
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on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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to interdisciplinary research Membership in the Tübingen Postdoctoral Academy for Research in Education (PACE) and the LEAD Graduate School & Research Network Individual mentoring to support professional and scientific
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University of California, Los Angeles | Los Angeles, California | United States | about 18 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