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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine
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that prioritise student learning in the age of AI. Job requirements You hold a PhD in Educational Science, Learning Sciences, Social and Behavioural Sciences, Engineering Education, Human-Computer Interaction or a
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collaboration with the Department of Advanced Computer Science and the Sensor Engineering group, creating a highly interdisciplinary research environment at the intersection of plant science, engineering, and
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in the project, you will work with an international collaboration network including Prof. Junichi Yamagishi at the National Institute of Informatics in Japan, Prof. Xavier Serra at Universitat Pompeu
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science
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leading journals and conferences. About you · a PhD in Materials Science and Engineering, Physics, Materials Characterisation, Computational Materials Science, or a closely related discipline
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fields – supporting the rapid growth and evolution of computer science and computational areas of allied fields such as mathematics, as reflected notably in the rise of artificial intelligence; computing
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in collaboration with local and international partners. The Postdoctoral Associate will design, execute, and interpret computational analyses for large-scale genomic, transcriptomic, and epigenomic
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science. Actively contributing to the activities of the Computational Communication Science Lab (CCL) Publishing and presenting at international conferences Submitting project proposals and securing
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. Opportunity to work in a dynamic, multidisciplinary team of experienced chemists, engineers and biologists. Participation in international conferences and Erasmus+ programme. Eligibility criteria Candidates