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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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to collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, and PhD students. Candidates will become part of a collaborative work environment within and outside QGG
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(SAXS) and light scattering. You will contribute to the development of new SAXS analysis methods and experimental protocols. You will contribute to preparation of the samples, e.g. varying concentration
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strong background in materials crystallography with measurement and analysis of diffuse scattering, including use of the 3D-DPDF method. Furthermore, the candidate preferably has experience in writing
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strong background in materials crystallography with measurement and analysis of diffuse scattering, including use of the 3D-DPDF method. Furthermore, the candidate preferably has experience in writing
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welcomes applications from all qualified candidates regardless of personal background. Formal requirements Applicants should have or be about to receive a PhD degree in a subject relevant for the research
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modelling. As a formal qualification, you must hold a PhD degree (or equivalent). Flexibility is essential. We are looking for a team player who can also work independently, who is motivated to help make, and
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Aarhus BSS Graduate School, Aarhus University invites applicants for a three-year PhD Scholarship focused on evaluating and selecting recipients for innovation funding, emphasising the social impact
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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
electrochemical testing by means of various voltametric methods and electrochemical impedance spectroscopy. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical
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documented by a PhD dissertation and/or research publications a solid theoretical and analytical understanding of text culture, AI, and related fields experience of empirical research methods, such as corpus