Faculty learning · Teaching and research

Faculty Development Programmes

Bring practical AI into your teaching and research.

Programmes that connect AI/ML concepts with guided scientific exercises, research design and classroom applications.

Who this is for

Faculty members, research supervisors and FDP coordinators in pharmacy, biotechnology, chemistry and related disciplines.

What we can cover

Connect foundational AI/ML concepts to scientific questions.
Explore hands-on QSAR and computational research workflows.
Discuss validation, reproducibility and responsible use of AI.
Translate practical exercises into teaching or research activities.

Outcomes to agree together

Worked examples for continued practice.
Ideas for adapting exercises to teaching and student projects.
A clearer understanding of model evaluation and limitations.

Specific deliverables are confirmed in your programme proposal.

A format that fits your institution

Online or on-campus formats can be discussed. Programme length, session mix, software, participant support and any assessment or certificate arrangements are confirmed in the proposal.

Before we begin

Share your department, audience and goals.
Agree topics, prerequisites, responsibilities and schedule.
Confirm the proposal and prepare the required software or datasets.

Can the programme be tailored to our department?

Yes. Share the faculty’s background, preferred scientific topics, software access and intended teaching or research outcomes so that a suitable scope can be developed.

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Let’s plan your institution’s next step

Tell us your department, participant level, preferred dates and the outcome you want to achieve. We’ll discuss a suitable scope and programme proposal.

Request a programme proposal

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