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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in Education. A focus on indigenous
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working arrangements, and campus facilities in addition to comprehensive staff benefits, found here Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes
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candidates will be given the opportunity to talk to a member of staff representing women, racially minoritized people, LGBTQIA+, or disabilities communities. This will be separate from the assessment process
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 12 days ago
research techniques, in preparation for an academic or research career. In the process of further developing their own research skills, it is expected that Postdoctoral Fellows will also play a signicant
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 27 days ago
here . For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details. Application information
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to be on site 1-2 days a week.Although we can accommodate hybrid working, flexibility to be on-site will be expected depending on business needs. Application Process Please apply online, demonstrating how
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embrace diversity and encourage applications from underrepresented groups. As a Disability Confident Employer and signatory of the Armed Forces Covenant, we ensure our hiring process is inclusive and
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please contact Prof. Daniel Bendor (). If you have any queries regarding the application process please email: . To apply for the vacancy please click on the 'Apply Now' button below. Please ensure you
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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help
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architectures for science Developing and advancing extreme-scale scientific data management, analysis, and visualization Developing and advancing next-generation machine learning, AI, and data science approaches