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Energy and Environmental Economics, focusing on macroeconomic analysis of energy transition policies
in Norway. About the project This PhD position is part of the newly funded VISTA Centre for Norwegian Transformative Energy Policy Development (NOTRAP) (https://www.ntnu.edu/notrap ), which will
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to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields, ultrasound, optics and targeted radiation, microfluidics
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application portal for postgraduate research in Chemistry: https://www.sheffield.ac.uk/postgraduate/phd/apply When completing your application, please specify Dr Marco Conte as the proposed supervisor and
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. Applicants are expected to have a PhD (or nearing completion) in synthetic or supramolecular chemistry, chemical biology or biomaterials, with experience of molecular and cell biology. Experience working with
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contemporary science. The candidate is committed to research‑informed, innovative teaching and contributes to curriculum development at the interface of physics, chemistry, and the life sciences. He or she helps
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Mechanochemistry at the Molecular Scale School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof Graham Leggett Application Deadline: Applications accepted all year round
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-simulation routines and interoperable modeling workflows using standards such as the Functional Mock-up Interface (FMI), enabling coupling between heterogeneous simulation tools and supporting digital twin
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-12 school leaders. They also interface with and advance partnerships with senior leaders of the many educational leadership organizations in the state of Minnesota including but not limited
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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interface with cyber and physical aspects of power systems such as the software-defined networking (SDN) in the microgrid control. Supervised by Prof. Xin Zhang (cyber-physical power systems) , the PhD