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Hybrid - in person or online See course details
Hybrid - in person or online See course details
Learning format:

Short intensive

Start date:

02/11/2026

Length:

4 days

An overview of pre-clinical testing and pathway from pre-clinical testing to field trials, discussions of vaccine immunogenicity, phases of vaccine testing from Phase I to IV, and the development and manufacturing of vaccines with our expert presenters.

Professional development Applications being accepted
Professional development Applications being accepted
Learning format:

Short intensive

Start date:

20/09/2026

Length:

6 days

A residential short course on machine learning of wearables datasets, connecting post-graduate and post-doctoral researchers from academia and industry with experts at Oxford's Big Data Institute and Nuffield Department of Population Health.

Professional development Applications being accepted
Professional development Applications being accepted
Learning format:

Short intensive

Start date:

05/10/2026

Length:

5 days

This five-day course introduces physical scientists, engineers and non-scientists to biological systems and terminology relevant to nanotechnology, and showcases current applications and new developments in bionanotechnology.

Professional development Applications being accepted
Professional development Applications being accepted
Learning format:

Short intensive

Start date:

06/07/2026

Length:

5 days

Tutor:

Robert Carlisle

This five-day course provides an overview of the regulatory, financial, clinical and commercial challenges faced by those wishing to bring innovative nanotechnologies to market.

Professional development Applications being accepted
Professional development Applications being accepted
Location:

Online

Learning format:

Short intensive

Start date:

12/01/2026

Length:

10 weeks

Tutor:

Victor Burlakov

A ten-week course taken entirely online. It explains the mathematical foundations for nanoscale phenomena, as well as their effects and applications including quantum dots, nanotubes and fullerenes.

Professional development Applications being accepted
Professional development Applications being accepted
Location:

Online & Oxford (Begbroke Science Park) Begbroke Science Park, Begbroke Hill, Woodstock Road, Begbroke, OX5 1PF

Learning format:

Short intensive

Start date:

27/04/2026

Length:

10 weeks

Tutor:

Frank Dillon

This ten-week online course will survey the range of techniques and methodologies used to determine the nature and composition of nanoparticles, thin films and nanostructures. It includes a hands-on visit to Begbroke Science Park over two days.

Professional development Applications being accepted
Professional development Applications being accepted
Location:

Online

Learning format:

Online - live

Start date:

13/10/2025

Length:

7 weeks

Tutor:

Robert Carlisle

A seven-week online course introducing the current state of technology and addressing implications for safety, regulation and innovation. It is for professionals worldwide seeking an overview of this important subject.

Professional development Applications being accepted
Professional development Applications being accepted
Learning format:

Short intensive

Start date:

23/03/2026

Length:

5 days

Tutor:

Robert Carlisle

This five-day course provides a thorough overview of the exciting and emerging discipline of nanomedicine, which is already starting to transform the way that medical and health care solutions are developed and delivered.

Professional development Applications being accepted
Professional development Applications being accepted
Learning format:

Short intensive

Start date:

06/10/2025

Length:

5 days

Tutor:

Christiane Norenberg

This five-day course introduces physical scientists, engineers and non-scientists to biological systems and terminology relevant to nanotechnology, and showcases current applications and new developments in bionanotechnology.

Professional development Course full
Learning format:

Short intensive

Start date:

21/09/2025

Length:

6 days

A residential short course on machine learning of wearables datasets, connecting post-graduate and post-doctoral researchers from academia and industry with experts at Oxford's Big Data Institute and Nuffield Department of Population Health.

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