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wastewater treatment plants, with the following main objectives: 1 - Model calibration through Machine Learning methodologies using process data. 2 - Development of a multimodal online sustainability
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processes in Australia. The second will involve a climate or biodiversity deliberative assembly based in Europe. Your key responsibilities will be to: document and analyse existing models of MtHR and what is
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epidemiological study designs and biostatistical modelling approaches to a broad range of health and environmental data. The team address policy relevant research with a focus on translating the results
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the omic studies. The desired skill set is split between dry lab (bioinformatics) and wet lab (basic science/animal models). Additionally, the individual will be required to design and perform experiments
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downscaling for Africa. We aim to get the first models developed rapidly, and you will support work to ensure that the methods can be run, evaluated and improved by partners in African universities and weather
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model of flare vs remission with a 50% relapse rate. Initial data analysis has taken place using the 10x Chromium single cell sequencing identifying putative cellular subpopulations that determine
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on the development of theoretical models, experimental design, and data interpretation Prepare and publish high-quality scientific papers and technical reports in peer-reviewed journals Participate in grant writing
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experiments to validate findings from the omic studies. The desired skill set is split between dry lab (bioinformatics) and wet lab (basic science/animal models). Additionally, the individual will be required
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, molecular immunology, and translational models. Led by Dr. William Gibson, the lab is based at Dana-Farber and Harvard Medical School and is committed to developing new therapeutic platforms that bridge
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signal processing models to analyze waveforms generated by traditional patient monitors and a novel wearable sensor and build a decision support tool to guide CPR Participate in the user interface and