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Integrative Machine Learning Approaches for Bacterial sRNA Genome Annotation

Objective

This project addresses the critical challenge of accurate, genome-wide annotation of bacterial small regulatory RNAs (sRNAs), which are key regulators of microbial adaptation and gene expression. Despite advances in sequencing technologies, many sRNAs remain undetected due to their diverse sequence conservation, complex secondary structures, and variable genomic contexts. The researcher will compile and curate a large and diverse dataset of bacterial genomes with experimentally validated and computationally annotated sRNAs. Novel machine learning models will be developed to improve sRNA prediction accuracy, and these models will be integrated into an open-source annotation pipeline. Rigorous benchmarking will validate model performance, and all algorithms, datasets, and results will be released openly to enhance reproducibility and foster community impact. This fellowship will significantly expand the researcher’s expertise in bioinformatics and bacterial genomics, advancing their independent research career. Concurrently, the host organization will benefit from enhanced research capacity. The project is positioned to advance sRNA annotation methodologies, enable novel biological discoveries, and contribute to leadership in this emerging field.

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)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

UNIVERSITA TA MALTA
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.

€ 189 474,24
Address
TAL OROQQ
MSD 2080 MSIDA
Malta

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Region
Malta Malta Malta
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.

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