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Research Associate in Environmental Microbiome Modelling

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The University of Manchester

12d ago

  • Job
    Full-time
    Junior & Mid Level

AI generated summary

  • You need experience in computational modeling, multi-omics data handling, functional predictions of microbial communities, strong analytical skills, and effective interdisciplinary collaboration.
  • You will design multi-species metabolic models, develop genome-resolved models from metagenomic data, generate hypotheses on community function, and collaborate with peers on data validation.

Requirements

  • Job Requirements:
  • 1. Experience in computational modeling, particularly with metabolic models.
  • 2. Proficiency in handling multi-omics data, especially metagenomic data.
  • 3. Ability to make mechanism-based predictions about functional responses of microbial communities.
  • 4. Strong analytical skills for data analysis and interpretation.
  • 5. Experience in hypothesis development and testing in a microbial context.
  • 6. Ability to collaborate effectively with other researchers across disciplines, including metagenomics, metatranscriptomics, proteomics, and metabolomics.

Responsibilities

  • - Successfully conducting a computational work package focusing on the design and implementation of multi-species metabolic models.
  • - Developing genome-resolved metabolic models from multi-omics (especially metagenomic) data to make mechanism-based predictions about the functional response of bacterial communities to environmental variation, changes in species composition and experimental intervention.
  • - Using these predictions to develop testable hypotheses about the rules of life determining community function and composition.
  • - Working closely with other postdocs and PhD students in this project, who will be applying complementary approaches (including metagenomics, metatranscriptomics, proteomics and metabolomics) and generating the data you will use to create and validate the multi-species metabolic models.

FAQs

What is the main focus of the Research Associate position?

The main focus of the Research Associate position is to conduct computational work related to the design and implementation of multi-species metabolic models, developing genome-resolved metabolic models from multi-omics data to understand the functional responses of bacterial communities.

Who will supervise the Research Associate?

The Research Associate will be supervised by Professor Sophie Nixon at the University of Manchester.

What is the funding source for this position?

The position is funded by the BBSRC strategic Longer and Larger grant “Rules of life in CO2-driven microbial communities: Microbiome engineering for a Net Zero future.”

What type of background is expected for applicants?

Applicants are expected to have a background in computational modeling, microbiology, or a related field, with experience in multi-omics approaches.

Will the Research Associate work independently or as part of a team?

The Research Associate will work closely with other postdocs and PhD students in the project, collaborating on complementary research approaches.

What kind of benefits does the University offer?

The University offers a fantastic market-leading pension scheme, excellent employee health and wellbeing services, exceptional annual leave entitlement, additional paid closure over the Christmas period, and local and national discounts at major retailers.

Is the University committed to diversity and inclusion?

Yes, the University actively fosters a culture of inclusion and diversity and seeks to achieve true equality of opportunity for all members of its community.

Can I apply if I am from a recruitment agency?

No, the University is unable to accept CVs or applications from recruitment agencies. Any submissions from recruitment agencies will be considered a gift.

How can I inquire about the vacancy?

Inquiries about the vacancy can be directed to Professor Sophie Nixon via email at sophie.nixon@manchester.ac.uk.

What are the working arrangements for this position?

The University is positive about flexible working, and hybrid working arrangements may be considered for this position.

The University of Manchester

A university with a reputation for learning and innovation that resonates globally.

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Mission & Purpose

The University of Manchester is part of the prestigious Russell Group of universities and highly respected across the globe as a centre of teaching excellence and research innovation and discovery. With 25 Nobel Prize winners among our current and former staff and students, we have a history of world firsts, with our impact ranging from splitting the atom to giving the world graphene. Our outstanding facilities and wide range of undergraduate, postgraduate and CPD courses make us one of the most popular universities with students in the UK and internationally. We’re proud to have the largest alumni community of any campus-based university in the UK, with more than 500,000 graduates in more than 190 countries around the world. Our purpose is to advance education, knowledge and wisdom for the good of society, putting our three core goals of research and discovery, teaching and learning, and social responsibility at the heart of everything we do.