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Job Description If you are looking for an exciting opportunity for PhD, we at Materials and Surface Engineering section, Department of Civil and Mechanical Engineering, Technical University
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, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. Chemistry, Material Science
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, geophysics, materials science, computation, engineering, or a related discipline. Hands-on research experience in one or more of the following areas will be considered an advantage: Confocal microscopy and
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position focused on understanding and mitigating the environmental and health impacts of depolymerization of plastic waste, and production of new state-of-the-art bioplastics. This research sits
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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competences within computational modelling, optimization and integration of thermal energy storage technologies – such as large water pits and phase change material storage. You will work with colleagues, and
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stability, and computational efficiency. It is expected that the coding will be done with an open-source programming language. The field experiments have the aim of validating the modelling; they will involve
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following qualifications: Programming skills and AI interest Data analytical skills and computer science focus Experiences with chemical analysis and pilot experiments is an advantage. Knowledge
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PhD Project in Theoretical High Energy/Mathematical Physics Niels Bohr Institute Faculty of Science University of Copenhagen The Niels Bohr Institute invites applicants for a PhD fellowship in