Genetic part mining and functional characterisation for bioremediation

这个博士项目将开发合成生物学的工具、知识和培训。也就是说，这将包括基于实验室的技能，在合成和分子和微生物学，数据处理和统计分析，分析流动方法，如流式细胞仪，以及计算方法，以确定和利用启动子。这将为博士生提供使用和应用量化数据驱动的方法来更全面地理解生物学问题的能力。除培训外，研究项目的目标/产出将有助于新的工作方式，因为它们将为生物修复提供创新工具和技术方法，以产生高生产力的程序。

This PhD project will develop tools, knowledge and training in Synthetic Biology. Namely, this will include lab-based skills in synthetic and molecular and microbiology, data processing and statistical analysis, analytical flow methods such FACS, and computational approaches to promoter identification and exploitation. This will provide the PhD student with the ability to use and apply quantitative data-driven approaches to more fully understand biological questions. In addition to the training, the research project goals/outputs will contribute to new ways of working, as they will provide innovative tools and technological approaches for the generation of highly productive processes for bioremediation.