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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
digital twin frameworks for civil, energy, and built-environment infrastructure. These frameworks integrate IoT-enabled sensing and real-time analytics to support continuous monitoring, data-driven
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factors shaping inclusive entrepreneurship and community development outcomes. The fellow will also contribute to data management, documentation, and synthesis, and will prepare analytical reports
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of analytical techniques including but not limited: Gas-Chromatography (GC) and Mass Spectrometry (MS) for materials characterization; Develop new synthesis chemistry to utilize fluorochemicals such as
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the laboratory's scientific culture, in order to continually push the boundaries of knowledge in these fields. The Institute of Analytical Chemistry and Molecular Reactivity in Normandy (CARMEN) aims to develop
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of research, testing and data collection, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content. Flexibility, excellence, and passion are vital qualities
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: Essential criteria 1. PhD qualified in relevant subject area (or pending results) (theoretical physics, statistical/condensed matter physics or related areas) 2. Knowledge and analytical skills in
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that they have no epistemic function or epistemic cost. Other aspects of the project concern, for example, the fruitfulness of definitions, or their analytical character, and the relationship between such features
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factors underlying support for or opposition to environmental policy instruments. The work involves meta-analytic, experimental, and longitudinal methods, and includes interdisciplinary collaboration
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analytical and numerical methods for the investigation of novel quantum magnetic states of matter in frustrated spin systems. Methods to be applied include, e.g., field theory approaches, exact diagonalization
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that the Competition is open, indexed in the Science Citation Index Expanded of the Web of Science from Clarivate Analytics where document type = article or document type = review, or in the SCI Verse