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Field
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and Experience: Completed a PhD in a relevant field (e.g., synthetic biology, computational biology and AI, microbial, plant and human cell biology, genomics, robotics and automation, and nucleic acids
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Knowledge, Skills and Experience: Completed a PhD in a relevant field (e.g., synthetic biology, computational biology and AI, microbial, plant and human cell biology, genomics, robotics and automation, and
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AI, microbial, plant and human cell biology, genomics, robotics and automation, and nucleic acids chemistry.). Track record of delivering ambitious research projects to a high standard. Strong track
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) would be an added advantage Possess good programming, optical instrumentation, automation and data processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ) Proven publication
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-of-injury and field telemedicine environments Building automated pipelines to ingest multidimensional and multi-modal data to feed the digital models Implementing continuous, bi-directional data flow required
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This PhD project focuses on developing formal methods and knowledge representation techniques for the modelling and analysis of complex manufacturing and intralogistics systems, such as highly automated
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transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, and care automation. Develop and execute healthcare innovation projects by conducting experiments
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the
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to ensure all project deliverables are met. Support research activities in one or more of the following areas: i. Advanced welding and automation technologies for steel fabrication and construction ii
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update you about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk folder periodically to make sure you