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Australian National University | Canberra, Australian Capital Territory | Australia | 42 minutes ago
Fellow The ideal candidate will hold a PhD (or be near completion) in physics or a related field, with demonstrated research expertise in experimental nuclear structure physics. They will have a strong
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
within a dynamic and collegial academic setting. Ideal Candidate Academic Level A – Postdoctoral Fellow The ideal candidate will hold a PhD (or be near completion) in physics or a related field, with
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circumstances, please contact talent@uq.edu.au . Other Information UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and
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You Completion or near completion of a PhD in psychology, epidemiology or public health Demonstrated experience analysing longitudinal quantitative data. Some experience with analysing qualitative data
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using Large Language Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research
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School of Earth Sciences Join a transformative national initiative to modernise geochemical data infrastructure across the country, with opportunity for novel research in geochemistry Full-time
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School of Earth Sciences Join a transformative national initiative to modernise geochemical data infrastructure across the country, with opportunity for novel research in geochemistry Full-time
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including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in
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and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion or near completion of a PhD
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data (e.g. DFT, MP2) and experimental data into AI-driven pipelines for structure–property learning and reactivity prediction. Applying AI models to real-world problems in virtual screening, ligand