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technologies that support decarbonisation and clean energy goals. The successful applicant will contribute to the computational modelling and design of Prussian blue analogues, spin-crossover metal-organic
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analysis to estimate ecological parameters, and implementing models in Matlab. You will work closely with a diverse team of around 20 field ecologists and modellers, as well as international collaborators
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, you’ll engage in a diverse mix of activities—from hands-on laboratory work, experimental design, and data analysis through to research publications, presentations, and student supervision. You will play a
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of industry engagement or the ability to effectively communicate to relevant stakeholders High level of personal integrity, transparency, and capability. Experience in the use and analysis of isotopes
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will include: Research: Lead at least two cohort studies (one that includes diverse pain presentations and a smaller cohort for more detailed analysis of a single pain condition), seek and manage
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collection, analysis, and the preparation of publications in leading academic journals. Analyse longitudinal survey data, using a variety of advanced statistical analysis techniques Collaborate on grant
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experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals
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systems, including SolidWorks, Pro/Engineer/Creo, LogiKal, and AutoCAD, with the ability to apply these tools effectively to the design, analysis, and optimisation of mechanical and opto-mechanical systems
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the conversion of experimental excel-based soft sensors to industry-ready programmed solutions using C++ and python Support research by performing data analysis tasks Liaise with clients regarding delivery of soft
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matter expertise in support of an ARC Research Hub for Engineering Plants to Replace Fossil Carbon project on Genetic analysis of lignocellulosic composition and biomass in sugarcane to maximise biofuel