AI/ML Postdoc: Spatial Genomics & Liver Cancer Lab

AI/ML Postdoc: Spatial Genomics & Liver Cancer Lab

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
The Francis Crick Institute

At a Glance

  • Tasks: Dive into AI/ML projects using large-scale spatial genomics datasets.
  • Company: Join the prestigious Francis Crick Institute and collaborate with top scientists.
  • Benefits: Gain extensive training in AI methodologies and access to cutting-edge research.
  • Why this job: Make a real impact in liver disease and cancer research while advancing your career.
  • Qualifications: Strong background in AI/ML and a passion for innovative research.

The predicted salary is between 60000 - 80000 Β£ per year.

The Francis Crick Institute is looking for an AI/ML Postdoctoral Fellow in the F Rouhani Lab. This full-time role focuses on computational projects involving large-scale spatial genomics datasets.

The position promotes collaboration with top scientists from the Crick and Wellcome Sanger Institute, offering extensive training in AI methodologies and access to cutting-edge research.

The successful candidate will apply advanced AI techniques within a dynamic and innovative environment to explore liver disease and cancer research.

AI/ML Postdoc: Spatial Genomics & Liver Cancer Lab employer: The Francis Crick Institute

The Francis Crick Institute is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the heart of Greater London. Employees benefit from comprehensive professional development opportunities, a commitment to safety and compliance, and the chance to contribute to groundbreaking scientific research that makes a real difference. Join us to be part of a team that values your expertise and supports your growth in a dynamic laboratory environment.

The Francis Crick Institute

Contact Details:

The Francis Crick Institute Recruitment Team

We think you need these skills to ace AI/ML Postdoc: Spatial Genomics & Liver Cancer Lab

AI Methodologies
Machine Learning
Computational Analysis
Spatial Genomics
Data Handling
Collaboration Skills
Research Skills