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Doctoral Training in Ruminant Microbiome Science:Developing Evidence-Based Interventions for Sustainable Food Production and Climate Change Mitigation

Objective

RUMEN-INNOVATE will establish a pioneering Marie Skłodowska-Curie Doctoral Network that advances sustainable ruminant agriculture through microbiome-based innovations. Building on extensive existing datasets, this network will train the next generation of scientists to revolutionise direct-fed microbial applications and sustainable ruminant production.

The programme operates through three integrated pillars: Discovery & Prediction using machine learning and multi-omics to identify key microbiome-host interactions; Validation & Mechanistic Understanding through controlled studies and synthetic microbial community design; and Translation & Implementation developing real-world diagnostic tools, delivery systems, and on-farm technologies.

RUMEN-INNOVATE will train doctoral candidates across European institutions with industry partnerships spanning nutrition companies, dairy, and meat sectors. Researchers will gain expertise in computational biology, experimental validation, and commercial application—creating versatile scientists capable of bridging laboratory discovery with agricultural implementation.

The network addresses critical global challenges: feeding a growing population sustainably, reducing greenhouse gas emissions from livestock, and developing alternatives to antibiotics in animal agriculture. By advancing microbiome-based solutions, RUMEN-INNOVATE will deliver innovations that enhance animal health, improve production efficiency, and support environmental sustainability.

Through international, interdisciplinary, and intersectoral collaboration, the network will produce breakthrough technologies, highly skilled researchers, and direct pathways for microbiomics innovations to reach farmers and consumers, positioning Europe as the global leader in ruminant microbiome science.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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Call for proposal

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(opens in new window) HORIZON-MSCA-2025-DN-01

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Coordinator

THE QUEEN'S UNIVERSITY OF BELFAST
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 046 214,36
Address
UNIVERSITY ROAD LANYON BUILDING
BT7 1NN BELFAST
United Kingdom

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Region
Northern Ireland Northern Ireland Belfast
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (10)

Partners (19)

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