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; therefore, knowledge of the mechanisms of disease mediated by the interaction of the tumour B-cell receptor and environment can be part of the role, including performing in vitro and, where necessary, in vivo
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learning ecosystem. This is an exciting opportunity for a highly motivated researcher to contribute to the cutting edge of interactive experiences, learning science, and design, with a strong emphasis on
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for a specific program. Activities will include program team involvements and presentation skills development. In addition, the fellow will have the opportunity to interact with, and learn from, other
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learning ecosystem. This is an exciting opportunity for a highly motivated researcher to contribute to the cutting edge of interactive experiences, learning science, and design, with a strong emphasis on
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, and tumor microenvironment interactions. The role will involve designing and conducting experiments, analyzing complex datasets, publishing in high-impact journals, and contributing to grant
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– protein interactions or enzyme optimization. Main responsibilities The successful candidate will use and develop methods within one, or preferably multiple, of the following categories: Sequence library
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cybersecurity, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security AI and Emerging Fields: Smart healthcare, IIoT, computational fintech, robot-human interaction
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in soft skills / general personality traits e.g. information visualization, interaction design. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details
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, attention-based models, and multi-modal learning approaches—to model RNA-mediated regulatory mechanisms and their dynamic interactions in disease. The position is part of an NHMRC Ideas Grant project
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for the position of Research Fellow for the project Anticipatory Robotics. Project Introduction: The project titled Anticipatory Robotics aims to improve Human-Robot Interaction by developing a “Robot Body Language