ML Research Associate: 2D/3D Cellular Imaging & Modelling in Harwell

ML Research Associate: 2D/3D Cellular Imaging & Modelling in Harwell

Harwell Full-Time No working from home possible
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At a Glance

  • Tasks: Develop ML methods for intracellular mapping and cell biology modelling.
  • Company: The Rosalind Franklin Institute, a leader in innovative research.
  • Benefits: Starting salary of Β£39k+, with potential for extension and professional growth.
  • Other info: Opportunity to work at the cutting-edge of scientific research at Harwell campus.
  • Why this job: Join a dynamic team and contribute to high-impact research in cell biology.
  • Qualifications: Experience in machine learning and a passion for interdisciplinary collaboration.

The Rosalind Franklin Institute invites applications for a Research Associate to develop ML-based methods for intracellular mapping and cell biology modelling at its Harwell campus.

The role emphasizes independent analysis, collaboration with interdisciplinary teams, and contributions to high-impact research outputs, with a starting salary in the Β£39k+ range and a two-year fixed-term with potential extension.

ML Research Associate: 2D/3D Cellular Imaging & Modelling in Harwell employer: Rosalind Franklin Institute

The Rosalind Franklin Institute is an exceptional employer, offering a dynamic work environment at the innovative Harwell Campus in Oxfordshire. With a strong focus on employee development, the institute provides ample training and career growth opportunities, alongside the flexibility of hybrid working arrangements that promote a healthy work-life balance. Join us to be part of a collaborative team dedicated to supporting groundbreaking research while enjoying the benefits of a permanent contract.

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Contact Details:

Rosalind Franklin Institute Recruitment Team

We think you need these skills to ace ML Research Associate: 2D/3D Cellular Imaging & Modelling in Harwell

Machine Learning
Cellular Imaging
Data Analysis
Interdisciplinary Collaboration
Research Methodology
Modelling Techniques
Independent Analysis