79 computational-material-science-"Multiple"-"Prof"-"Washington-University-in-St" PhD positions
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-efficient research that prevents fatigue failures has pushed towards integrated computational materials engineering approaches that improve competitiveness. These approaches rely on physics-based models
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an original programme of research working with ecologists Dr Ashley Lyons and Dr Anne Oxbrough in collaboration with Dr Steven Ewing at the RSPB Centre for Conservation Science. This PhD is part of the Cumbria
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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emulsion, coat it with a nanoscale separator, and fill it with cathode material. The goal is a scalable, robust fabrication method that could revolutionise battery technology and support sustainability. Your
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, chemistry, physics, electrical engineering, mechanical engineering, synthetic biology, material science, computer science, micro- and nanotechnology) from a recognised academic institution and the acceptance
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problems in materials science, chemistry, biology, X-ray science and other domains, and 2) to deliver new software and services that will be used by thousands of researchers and will be seen as critical
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Researcher Senior. As a Researcher Senior, you will have expanded responsibilities, overseeing complex or multiple research projects and providing strategic direction. This professional-level role involves
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Geography (IfL) Leibniz Institute for the History and Culture of Eastern Europe (GWZO) Zentrum für Interdisziplinäre Regionalstudien (ZIRS), Martin-Luther-Universität IMPRS "Global Multiplicity: A Social
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Reliability and Durability to carry out research in the area(s) of photovoltaic (PV) module reliability and durability, PV system data analysis, and material characterization. This is a 12-month, non-tenure
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, computer science, bioinformatics, or o ther related disciplines is required. Strong interest, research background and experience in the methodology research in functional data analysi s, tensorregression, high