Postdoc: AI for Brain Anatomy & Cross-Species Insights in Oxford

Postdoc: AI for Brain Anatomy & Cross-Species Insights in Oxford

Oxford Full-Time 35000 - 45000 Β£ / year (est.) No working from home possible
Job Search Place Limited

At a Glance

  • Tasks: Develop computational methods to analyse brain anatomy across species using AI.
  • Company: The prestigious University of Oxford, known for its groundbreaking research.
  • Benefits: Competitive salary and the opportunity to contribute to innovative research.
  • Other info: Be part of a dynamic research team in a vibrant academic environment.
  • Why this job: Join a leading institution and make a real impact in neuroscience.
  • Qualifications: PhD in a relevant field with skills in computational modelling and data integration.

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

The University of Oxford is offering a position for a Postdoctoral Researcher in Computational Neuroanatomy and Artificial Intelligence. This role involves developing computational methods to analyze cortical organization across species.

Ideal candidates will have a PhD in a relevant field and strong skills in computational modeling and data integration. This position offers a competitive salary and a chance to contribute to groundbreaking research in Oxford, England.

Postdoc: AI for Brain Anatomy & Cross-Species Insights in Oxford employer: Job Search Place Limited

The University of Oxford is an exceptional employer, renowned for its commitment to pioneering research and academic excellence. Working in the vibrant city of Oxford, you will benefit from a collaborative work culture that fosters innovation and professional growth, alongside access to world-class resources and networking opportunities within the academic community.

Job Search Place Limited

Contact Details:

Job Search Place Limited Recruitment Team

We think you need these skills to ace Postdoc: AI for Brain Anatomy & Cross-Species Insights in Oxford

Computational Neuroanatomy
Artificial Intelligence
Computational Modeling
Data Integration
Analytical Skills
Research Skills
Cross-Species Analysis