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life cycle analysis methodologies. Proficiency with modelling and simulation software relevant to TEA and LCA. High analytical ability to analyse and illuminate data, interpret reports, and bring new
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synthesis efforts, in particular developing and updating evidence-based guidelines Coordinating stakeholder engagement activities (e.g., with healthcare providers, patients/public) Preparing regular data
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expertise in life cycle assessment, soil science, and big data analytics. This role offers you the chance to directly impact global food security and environmental sustainability while working in a
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policy through rigorous research and data-driven insights. Key Responsibilities The selected candidate will contribute to various ongoing and new research projects, with responsibilities including (but not
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the lifespan are encouraged to apply. The fellow will actively participate in implementation, data analysis, and dissemination of findings (manuscripts, presentations) from Center activities. Additional
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experimental work and data analysis. Key Responsibilities: Design and conduct experiments related to small molecule catalytic reactions, including catalyst synthesis, activation, and reaction evaluation. Perform
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, with a track record of peer-reviewed publications. Strong quantitative and analytical skills, with experience in data analysis. Ability to work independently and in multidisciplinary teams, with strong
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analytical biochemistry/chemistry or bioengineering, who will be tasked to conduct in depth biochemical characterization of alternative proteins and peptides using analytical methods such as high-performance
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, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. - To establish a national reputation and regularly disseminate and explain
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ageing processes, high voltage electrical testing, analytical and simulation techniques. Please provide your CV to support your application for this post. You will report to the sponsor at regular meetings