73 algorithm-development-"Newcastle-University"-"Newcastle-University" positions at Queensland University of Technology
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through departments including: account management (client strategy, campaign development) creative (concept development, copywriting) production (pre-production, filming, editing) studio (design, art
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-quality research, we prepare learners and communities today for the real world of tomorrow. Led by the Executive Dean and the Faculty Leadership Team, the Faculty of Business and Law is committed to real
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experience in developing procedures and in conducting audits related to general HSE hazards. Demonstrated high level effective interpersonal, presentation and consultation skills along with an ability
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to the United Nations sustainable development agenda. This position will play a role in developing and integrating research, teaching and engagement within the Disciplines, the School, the Faculty and the University as
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-quality outcomes. 4. Well-developed administrative and organisational skills with a proven ability to effectively plan and prioritise tasks with limited direction in a timely manner, and willingness to be
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addition to the financial support, you are encouraged to make the most of your QUT experience through extra development opportunities, which build your leadership skills and professional networks.
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Diploma level qualification with at least two years subsequent relevant work experience; or an equivalent combination of relevant experience, education, or training. Well-developed interpersonal skills
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strong interest in undertaking a 2-year research project on generative AI and academic research develop a research proposal that responds to and aligns with the scholarship topic and articulates
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developing their program of complementary cancer research. We’re offering this role as a hybrid position as part of QUT’s commitment to embracing the opportunities created by a more virtual and connected world
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will collect and analyse clinical, demographic, diet, and lifestyle data to identify modifiable predictors and stratify patients by malnutrition risk, supporting the development of targeted, personalised