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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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Automated Program Repair (APR) is the grand challenge in software engineering research. Many APR methods have shown promising results in fixing bugs with minimal, or even no human intervention
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that the group-level behaviour emerges from the actions of individuals, who only have limited, locally information on what is going on. Such self-organised behaviour is common in biology, it is the basis of how
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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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MMG Women in Engineering Scholarship Achieving Potential Scholarship for Excellence MMG wish to actively promote female participation in Engineering by providing philanthropic support to encourage
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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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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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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