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SCELSE Scientific Retreat 2024 video

Catch a glimpse of all that happened in this two-day event

Application for SCELSE Summer Course 2025 is now open

This three-week course brings together world-renowned scientists and engineers, including SCELSE scientific leaders and guest experts.

Podcast spotlight! Climate change - A catalyst for disease outbreaks

Did you know that 50% of infectious diseases are aggravated by climate change? The intersection of environmental shifts and global health has never been more critical to understand.

New SCELSE Leadership: Prof Cynthia Whitchurch appointed Research Director

Effective 1 Oct 2024, Professor Cynthia Whitchurch has been appointed as Research Director of the SCELSE Biofilm Biology Cluster.

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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