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of generative AI. Essential Skills and Experience A background in a relevant field such as behavioural science, cognitive science, data science, psychology, human-computer interaction, law, or a related
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methods, the goal is to enhance the ability to identify and mitigate the risks posed by fraudulent online platforms. Required knowledge Python programming Machine learning background Text analysis Image
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of preclinical models. You will also contribute to research infrastructure, including the coordination and processing of biospecimens for downstream discovery science and biomarker development. This is a unique
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support in fast-paced environments. You will demonstrate strong organisational and time management skills, attention to detail, and a high level of computer literacy. A collaborative and empathetic approach
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seeking a leading researcher to advance a program in Applied Clinical Data Science, Machine Learning and AI. This role offers the chance to lead high-impact projects, mentor emerging researchers, and
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/admissions/entry-requirements/minimum . Candidate Requirements Undergraduate honours degree or Master's by research degree in a relevant discipline (Computer Science, Robotics, Engineering or others related
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advisory boards, government committees and multi-university consortia Demonstrated ability to identify and secure new funding and program grants, ensuring financial sustainability and scaling initiatives
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and research protocols in compliance-focused environments. Advanced computer skills with experience using Microsoft Word, Excel and PowerPoint; specific experience in working with a range of analytical
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an electrical and computer systems engineering degree in the Faculty of Engineering. Total scholarship value $20,000 Number offered One at any time See details Farrell Raharjo Clive Weeks Community Leadership
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Microbiology in Water Engineering Scholarship The Microbiology in Water Engineering scholarship be introduced to encourage students to begin thinking about the interdisciplinary of planetary health