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practice of Open Science principles (e.g. data sharing, code sharing, public engagement and awareness). Self-motivated, proactive, and takes initiative to problem-solve Understanding of anxiety and
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practice of Open Science principles (e.g. data sharing, code sharing, public engagement and awareness). Self-motivated, proactive, and takes initiative to problem-solve Understanding of anxiety and
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experience: Essential criteria PhD in computer science, AI or related area Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS
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experience: Essential criteria 1. PhD in computer science, AI or related area 2. Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data
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robotics, mechanical engineering or a similar engineering field. The job requires an in-depth knowledge about soft inflatable/eversion robotics, sensor data acquisition and processing, computer and system
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(Dr Daniel Wilson, Dr Maxie Roessler). Applicants should have a PhD in synthetic chemistry, ideally with extensive experience in handling air- and moisture-sensitive materials using Schlenk line and
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of Engineering and Materials Science, a large School with 108 academics, more than 250 PhD students and over 2500 undergraduate students. It is one of five schools in the Faculty of Science and Engineering at
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working under pressure For further information about this position and to apply, visit http://jobs.sgul.ac.uk . The School of Health and Medical Sciences is committed to promoting equality, diversity and
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. Machine learning/atmospheric science/satellite data processing experience preferred but not required Creative problem-solving skills and ability to work independently *Candidates with a PhD in other
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well as MSc and PhD programmes. Further information may be found at: http://www.kcl.ac.uk/physics About the role We are seeking to fill a position of Postdoctoral Research Associate, working in close