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Advisory, Conciliation and Arbitration Service (Acas); | Bristol, England | United Kingdom | 9 days ago
takes learning and development seriously and the successful applicant will be self-aware and engage in continuous development. The Strategy and External Affairs directorate comprises colleagues from
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on “Active exploration of iridescence and gloss”. The ESR will join the EXPLORA consortium (https://explora-network.github.io/web/index.html ), which comprises 12 academic institutions across multiple European
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of manuscripts for publication, and liaising with the Journals’ publisher, Wiley. Candidates should have experience in biomedical science research. This is an opportunity to acquire a range of skills that could
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research and learning in this area that distances us from the existing literature, and crucially places ARIM at a strategic level within organisations. Staff: Adele Redhead Digital Cultural Heritage and
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delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home Estates and Facilities at Brunel University London provides integrated
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into the Gravitational Physics group (https://gravity.univie.ac.at/ ), an active research unit engaged in fundamental theoretical questions of gravitation. The group includes faculty members, postdoctoral researchers, and
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Webseite mit weiteren für diese Tenure Track-Professur relevanten Informationen, der alternativ auch in die Kurzbeschreibung der Forschungsumgebung eingefügt werden kann: https://ie.univie.ac.at/en/ Your
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methodologies that blend industrial design with advanced technologies. He/she will apply expertise in areas such as electronics/sensors technology, machine learning/programming, physical ergonomics/cognitive
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obtain the right to work in the UK. Information on other visa options is available at https://www.gov.uk/check-uk-visa . To apply online for this position visit www.abdn.ac.uk/jobs Job Reference Number
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order to detect microseismic events, characterise their sources, and image geophysical perturbations caused by industrial activities. The development of machine learning methods to efficiently process