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. TRAnsformative methodologies for innovation and learning.’ The PhD position is in an interdisciplinary team of 3 PhD researchers, one post doc and two senior researchers. EXTRA aims to strengthen
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Overview We are seeking to recruit an experienced Teaching Associate for a fixed-term period of 12 months to contribute to our innovative teaching. This role is an ideal opportunity for a scholar
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About MINDS Centre for Doctoral Training The Machine Intelligence for Nano-Electronic Devices and Systems (MINDS), is a very successful £5M Centre for Doctoral Training (CDT) funding around 50 PhD
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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
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resolution, contemporary and historical warfare, gender, international relations, migration and borders, security studies, strategic studies, technology and violence. The Department is located within
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(especially, TeamLearn or CORPUS ), and make use of projects’ datasets. The project description is expected to elaborate on the research problem of the prospective PhD project, how it is embedded in
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knowledgeable individual to join our team as a Lecturer or Senior Lecturer in Embedded Systems. You will contribute to innovative teaching and cutting-edge research in engineering. The role involves developing
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is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA), and aims to ensure that independence, dignity, integration and equality of opportunity are embedded in
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with classic morphological as well as modern molecular tools in taxonomy. Strong commitment to be actively involved in teaching at all levels (Bachelor, Master, PhD) is expected. The TT position is
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processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We are committed