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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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Minimum of $54,000 based on experience Type of Position Other Position Time Status Full-Time Required Education PhD degree required. Required Related Experience 5 years (including Ph.D. training) Required
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for the valuation of open space lands; 2) Writing statutorily required and other annual reports; 3) Conducting research and conceptualizing appropriate methods and materials to improve the validity and reliability
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: Prof. Wei Wang), China, and her PhD from UC Berkeley, where she worked on COFs and MOFs under Prof. Omar Yaghi. She then completed postdoctoral training at Caltech in Prof. Michael R. Hoffmann's group
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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role
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meetings Engage in analysis and writing of findings, as author or co-author when substantively involved Share results with stakeholder audiences Write and publish on existing datasets Qualifications: PhD in
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 14 days ago
simulation tool for modelling hydrogen isotope transport in materials. The role is central to enhancing the scientific reliability and benchmarking capacity of FESTIM in support of fusion fuel cycle modelling
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take responsibility for the planning, execution and analysis of high-quality research, ensuring the validity and reliability of data at all times and will maintain ongoing scientific discussion with
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on reliability, security, and resilience of electric power systems and microgrids and stability analysis and Scientific Machine Learning (SciML) for microgrid applications. The successful candidate will be