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NTU Safety & Health Award 2023

Congratulations to our Laboratory operations and Workplace Safety & Health team for winning this award!
“I am very proud of the work and commitment of the team to keep SCELSE a safe place to work.”
– Prof Alain Filloux, SCELSE centre director

SCELSE-GPA Seminar

Friday, 23 Feb 2024 | 2-3pm | NUS DBS Conference Room 1
This seminar would explore the host microbiome interactions focusing on the kingdom Plantae, featuring researchers from Sanjay Swarup’s lab: Mr Arijit Mukherjee and Dr Mrinmoy Mazumder.

SCELSE Summer Course 2024

Applications are now open till 29 Feb 2024.

SCELSE-NTU shows ocean plastic trash home to potentially harmful & promising resources of microbes

This exciting discovery holds great promise for novel plastic waste management processes.

SCELSE’s Research Structure

Mission: To discover, control and direct the behaviour of microbial biofilm communities and microbiomes
for sustainable environmental, engineering, public health and medical applications.

Environmental Engineering Cluster

Understanding microbial communities in engineered and environmental settings and provide translational outcomes for harnessing of biochemical transformation processes in several key systems.

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Meta-'omics & Microbiomes Cluster

The development and application of cutting edge, high resolution, ‘omics, and analytical technologies to understand microbial communities and microbiomes in natural or engineered systems to the level where informed control can be applied.

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Biofilm Biology Cluster

Unravelling the mechanisms behind biofilm establishment, development, structure and function to understand and control key aspects of biofilm biology in all settings, including natural and engineered urban environments, host-microbe interactions, public health and medical contexts.

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Biofilms & Health Cluster

The Biofilms & Health cluster embraces the societal and health problems posed by bacterial biofilms and microbiome dysbiosis.

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Integrative Analysis Unit

The Integrative Analysis Unit (IAU) provides analysis and interpretation expertise, guiding and advising SCELSE researchers on metagenome analysis and related methods, as well as experimental design, data analysis and statistics.

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