31 parallel-processing-bioinformatics Fellowship positions at University of Birmingham in United Kingdom
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microbiome ecology studies, including mock-community, co-culture and batch culture experiments, as well as model colon studies Bioinformatics analysis, such as QC, data processing, microbial genomic analysis
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Perform bioinformatics analyses and test different ecological processes that govern microbiota community assembly and resilience Flexibility and adaptability to working cross-sites UoBRL (BMEC and QEHB
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of bioinformatic analysis of microbial genomics data High level analytical capability Ability to communicate complex information clearly Contribute to the planning and organising of the research programme and/or
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, or Service Design Expertise in advanced quantitative data-analytic techniques, e.g., SEM Experience working in the manufacturing sector Experience working in Human Resources/Process Development/Training
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to the administration/management of research across the Department/School Lead/project manage a team to devise and implement a new and/or revised process (e.g. new programme or a recruitment drive) Advise on personal
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to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict
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proficiency in R programming, including data processing, simulation, and model implementation. Demonstrated ability to apply statistical methods to real-world data. Excellent analytical and problem-solving
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on enhancing the depolymerisation process, as well as advancing our resin design to enable more facile circularisation. The project will be hosted in the group of Prof. Andrew Dove in the School of Chemistry and
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to learn new techniques. Experience with data processing, analysis and interpretation. Ability to keep up to date with new developments in relevant research fields. Ability to work both independently and as
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will conduct experimental investigations into dynamic processes, especially Ostwald ripening. They will employ a range of advanced characterisation techniques—such as scattering, microscopy, and rheology