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for the analysis of nonlinear phenomena in adaptive dynamical networks with applications to restoration ecology. Adaptive dynamical networks are mathematical models of coupled systems where both the systems
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PEACEPLUS 4.1-funded initiative. This role will focus on data analysis and architecture research, investigating the e-health deployment aspects of the PEACTIME protocol. The PDRA will assess the effectiveness
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of ICP-MS, GC-MS, HPLC, UV-Vis, Metal analysis, COD, BOD, Protein, vitamin, and amino acid analysis, and other analytical tools. He/she will be expected to run the research programme day-to-day under the
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circular economy systems consists of approximately 20 researchers. The breadth of the work includes for analysis of systems generated by ocean (offshore wind and seaweed) to conversion (hydrogen, electro
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. Measurements will include leaf gas analysis, chlorophyll fluorescence, biomass, and Carbon/Nitrogen analysis. Measurements on this extensive suite of performance traits over a gradient of future climate
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of tight control of atmospheric CO2, light intensity, temperature, and humidity. Measurements will include leaf gas analysis, chlorophyll fluorescence, biomass, and Carbon/Nitrogen analysis. Measurements
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of the opportunities and costs of the oilseed sector, including but not limited to economic analysis of farm-level data, market trends and industry costs. The Post-Doctoral Researcher will also validate economic
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at the heart of the analysis. The successful applicant will create and develop their own case study centring on the experience and reception of Vietnamese boatpeople in the South China Sea in the 1970s and
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density and potential agricultural applications being cognisant of guidance and best practice from EUMETNET AutoPollen, EAN and EAS. The finding of this analysis will be used to guide the selection
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or equivalent Skills/Qualifications Communication, Organizational skills, Research skills, Expertise in dynamic modelling, stability analysis and automatic control of interconnected power systems Additional