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thrive in this role, you will likely have the following skills and experience: A recent PhD graduate in computer science, engineering control systems, Digital Twins, or a closely related field. Knowledge
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research Eligible student type Domestic and international students Eligible study stage Current study, Alumni Benefit duration One or more years Summary The Smithsonian Institution Fellowship Program offers
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information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion of a PhD in Data Science, Biostatistics, Computer Science, Health Informatics, or a closely related discipline
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learning, generative AI or LLM-based systems, cloud computing, and the design and validation of algorithms for high-volume quantitative or sensor-derived data. Experience with wearable data, health
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Although not required to apply, support and co-investment from a university or institute partner contributes to 25% of the application selection criteria. Any form of support and co-investment should be detailed in the application form. Type of assistance may include monetary or in-kind...
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(Japanese-based staff). Please note for the purposes of this program early career researchers are defined as academic staff who have completed their PhD within the last ten years. South Australian Applicants
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Acknowledgment of Country Australia's Chief Scientist and the Office of the Chief Scientist recognise the first peoples of this nation and their ongoing cultural and spiritual connections to the lands, waters, seas, skies, and communities. We acknowledge First Nations peoples as the Traditional...
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as part of a research team to meet agreed project outcomes, timelines and milestones. Qualifications: Mandatory for Academic Level A appointment: PhD or close to submission in robotics, machine
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at the Bachelor, Master and PhD levels, and ensure our students experience an education that is work-aligned and life-changing. The College is renowned for its exemplary research in many STEM areas including
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program focused on obesity and eating disorders, with a particular emphasis on developing and evaluating screening and assessment pathways to improve health outcomes for children, adolescents, and families