Genetic part mining and functional characterisation for bioremediation

该博士项目将开发合成生物学的工具、知识和培训。也就是说，这将包括合成、分子和微生物学的实验室技能，数据处理和统计分析，分析流方法，如FACS，以及启动子识别和开发的计算方法。这将为博士生提供使用和应用定量数据驱动方法的能力，以更全面地理解生物学问题。除了培训之外，研究项目的目标/产出将有助于新的工作方式，因为它们将提供创新的工具和技术方法，以产生用于生物修复的高产工艺。

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.