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Field
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, as well as executing organic (multistep) reactions in the laboratory. We are looking for an applicant with: A Master's degree in chemistry, chemical engineering, data science, computer science, or a
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scholarship is suitable for students with a background in Engineering, Mathematics, and Computer Science. Students with interests in machine learning, deep learning, AI, intelligent decision making
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Computer Science Familiarity with category theory Excellent written and spoken English Ability to work independently and collaboratively Please note that knowledge of the Dutch language is not required
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will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Theodoros Kapourniotis, National
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, and can demonstrate competence in, two or more of the following areas are encouraged to get in touch. Please note that you **do not** have to check all of the boxes, but you should be excited to learn
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; Education; Engineering; Environment; Health; Information technology and computer science; Law; Music, visual and performing arts; Science Need help understanding the process? Visit our scholarship guide
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with the proposed field of research internship. Please note that applications will be considered on a rolling basis and the advertisement may be closed earlier if a suitable applicant is shortlisted
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy
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Engineering, Operations Research, Civil Engineering, Computer Science, Data Science or a related field, from a university/department with a strong international research reputation Strong mathematical and
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• Scientific publishing Your qualifications: • Completed academic university degree (university diploma / M.Sc.) in Computer Science, Geoscience, Physics, Data Science, or comparable subjects • Experience in