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Claudio Angione

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Fully Funded PhD in Time-Resolved Multimodal AI for Imaging, Omics, Biotechnology and Food Teesside University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD opportunity with a tax-free stipend of £21,805 per year.

Deadline

Nov 27, 2026

Country flag

Country

United Kingdom

University

Teesside University

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Keywords

Computer Science
Food Science
Biomedical Engineering
Biotechnology
Deep Learning
Biology
Artificial Intelligence
Computational Biology
Time-lapse Imaging
Omics

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About this position

Teesside University is offering a fully funded PhD opportunity in a research group working at the intersection of computational systems biology and deep learning.

The project is aimed at a researcher interested in time-resolved multimodal artificial intelligence for applications involving imaging, omics, biotechnology and food. The work brings together AI and machine learning approaches with biological and data-rich research questions, with an emphasis on integrating multiple types of information over time.

The successful PhD researcher will join a research environment focused on computational methods, deep learning and systems-level biological applications. The group’s interests span imaging, omics and biotechnology, extending into food-related research areas.

The research group is led by Claudio Angione, Professor of AI at Teesside University. The opportunity welcomes both Home and International students.

Funding details

Fully funded PhD opportunity with a tax-free stipend of £21,805 per year.

What's required

Applicants should be passionate about time-resolved and multimodal artificial intelligence for imaging, omics, biotechnology and food. Both Home and International students are welcome to apply.

How to apply

Review the opportunity and application information at the provided link, then submit an application by 5:00 pm on 27 November 2026. Consult the research group website for further details.

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Prepare your application

Review drafts and confirm requirements with the university.

Professors

Professor of AI

University Name
Country flag

United Kingdom

Research Interests

Biochemistry

Cell Biology

Metabolic Biology

Deep Learning

Cancer Biology