Research support · Milestone-based guidance

AI Research Project Mentoring

Turn a research question into a reproducible study.

Structured guidance for students and faculty developing AI/ML, QSAR and computational drug-discovery projects.

Who this is for

Student project groups, postgraduate researchers and faculty teams with a defined scientific question or an early project idea.

What we can cover

Assess feasibility, data availability and a realistic project scope.
Plan data preparation, baseline methods and validation.
Review code, results, uncertainty and model limitations.
Develop reproducible records, figures and a transparent methods narrative.

Outcomes to agree together

An agreed project roadmap with review milestones.
Feedback on analysis choices and interpretation.
Guidance on reproducible workflows and scientific communication.

Specific deliverables are confirmed in your programme proposal.

A format that fits your institution

Start with a scope discussion, followed by agreed review meetings and deliverables. Timelines depend on the question, data readiness and the team’s available effort.

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.

Does mentoring guarantee a publication?

No. Research findings and editorial decisions cannot be guaranteed. The team retains responsibility for its work, authorship and institutional requirements; mentoring supports sound methods and independent understanding.

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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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