185 evolution "https:" "https:" "https:" "https:" "https:" "University of Warwick" PhD scholarships in Denmark
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funded by the Novo Nordisk Foundation and led by Assoc. Prof. Janus Juul Eriksen @ DTU Chemistry – revolves around the development of new decompositions of molecular properties into local contributions
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for gas-phase catalysis. Development and application of ultrasensitive methods to probe gas–surface interactions by means of electron spectroscopy. Operando studies of catalysts using low dose-rate and dose
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the following main activities: Design and Evaluation of e-DAC Materials and Systems. The PhD candidate will focus on the computational development of redox-active materials for electrochemical CO₂ capture
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https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in week 13. Questions For specific information about the PhD fellowship, please contact
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the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives
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Development Group (HEDG) , one of Europe’s leading centers for quantitative research in economic history, including the economic history of the arts. HEDG is recognized for its strong research profile
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-year employment is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD
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for gas-phase catalysis. Development and application of ultrasensitive methods to probe gas–surface interactions by means of electron spectroscopy. Operando studies of catalysts using low dose-rate and dose
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(CAM) . CLINDA aims to conduct independent research in the development, application, and implementation of data infrastructures for AI-based decision support tools and is rapidly growing with currently
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prediction outputs. The first PhD will work on data fusion, feature extraction, and model development ranging from baseline approaches (e.g., gradient boosting) to deep learning architectures. The work also