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Field
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of experience in both aquatic ecology and microbial biogeochemistry. This position will provide robust training in data collection and analyses, in addition to manuscript preparation; guidance in career
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This project aims to identify the spatial genetic and adaptive dynamics of tumour microbiome in colorectal cancer. To do so, we will integrate single-cell genomics, transcriptomics and clinical data
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working culture. Person Specification First degree and a PhD relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly
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postdoc position in Real Estate, beginning August 2025. The selected candidate will collaborate with UC faculty and corporate partners on research in the application of state-of-the-art analytics
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Engineering, Genetics, Immunology, Biology, Systems Biology, Biomedical Sciences, Material Science, Bioengineering, Analytical Chemistry, Bioinformatics or a closely related field in hand by August 2025
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ecology and management research, expertise in long-term ecological data analytics and modeling, and proficiency in statistical analysis are encouraged to apply. Preference will be given to candidates with
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-ray crystallography, X-ray photoelectron spectroscopy and other analytical tools. Undertake electrochemical characterisation of the prepared catalysts. You will be trained on all required synthesis
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the lab existing genome sequence data for fungal plant pathogens within the Dothideomycete family. The lab has an existing fungal collection of over 40 strains collected from wheat, wild-grasses and barley
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experiences in at least one of the following areas: 1) advanced data analytics for performance prediction and risk analysis of transportation infrastructure; 2) network level optimization for transportation
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impact. Academic Leadership The Fellow will work under the supervision of internationally recognised experts in their fields: Dr. Muhammad Afzal (Senior Lecturer, Lead of Big Data Analytics): Dr. Afzal is