Postdoc: Biological Foundation Models for AI-Driven Discovery in Norwich

Postdoc: Biological Foundation Models for AI-Driven Discovery in Norwich

Norwich Full-Time 35000 - 45000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop AI models for groundbreaking biological discoveries and collaborate with top researchers.
  • Company: Earlham Institute, a leader in AI-driven biology research.
  • Benefits: Competitive salary, research funding, and opportunities for impactful publications.
  • Other info: Dynamic research environment with strong focus on open science.
  • Why this job: Join a pioneering team and shape the future of biology with AI.
  • Qualifications: PhD in relevant field and experience in AI or biological research.

The predicted salary is between 35000 - 45000 Β£ per year.

Earlham Institute in Norwich invites applications for a Postdoctoral Research Scientist (SC6) or Senior Postdoctoral Research Scientist (SC5) to join the AI for Biology Group, developing foundation models for biological discovery.

The role emphasises novel AI methods, multimodal models, and open research practices across EI's programs.

The successful candidate will collaborate closely with researchers, manage large-scale training, and contribute to high-impact publications and grant proposals.

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Postdoc: Biological Foundation Models for AI-Driven Discovery in Norwich employer: Earlham Institute

Earlham Institute is an exceptional employer, offering a dynamic work environment in the heart of Norwich, where innovation meets collaboration. As a Predoctoral Intern, you will benefit from comprehensive training in both wet-lab and computational design, alongside opportunities for professional growth and the chance to present your research. The supportive culture fosters creativity and encourages the pursuit of meaningful contributions to plant sciences, making it an ideal place for aspiring scientists.

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Contact Details:

Earlham Institute Recruitment Team

We think you need these skills to ace Postdoc: Biological Foundation Models for AI-Driven Discovery in Norwich

AI Methods
Multimodal Models
Open Research Practices
Collaboration
Large-Scale Training Management
Publication Writing
Grant Proposal Development