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continuous systems. The experimental data will contribute to developing an initial techno-economic evaluation to test the feasibility of utilising flower waste as feedstock. The project outcome is a first step
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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programme. To acquire, analyse, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. To establish a national reputation and
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. Awards will be finalised by July 2026. Supported Areas for START Infocomm Technology Information Security: Mobile security, cyber-physical systems, IoT security, security analytics, operational
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continuous systems. The experimental data will contribute to developing an initial techno-economic evaluation to test the feasibility of utilising flower waste as feedstock. The project outcome is a first step
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which they operate. We have established collaborations across the globe and built a research programme that leverages high throughput, high-resolution sequencing platforms and novel analytical methods
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(pro rata on a part time basis) Apply by: 22/06/2025 Role Description We welcome applications from passionate plant science researchers, bioinformaticians or remote sensing/data scientists with skills in
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passionate plant science researchers, bioinformaticians or remote sensing/data scientists with skills in image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary
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responsible for patient recruitment, sampling (including bronchoscopy), data collection and analysis, and will work closely with a post-doctoral research associate to deliver key project milestones
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Experience using electrochemical and/or flow instrumentation desirable High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and