At a Glance
- Tasks: Connect machine learning with experimental data for biomolecular modelling.
- Company: Instruct-ERIC, a leading research organisation in Cambridge.
- Benefits: Collaborative environment and opportunities for groundbreaking research.
- Other info: Join a dynamic team and advance your career in a pioneering research setting.
- Why this job: Make a real impact in biomolecular research using cutting-edge AI techniques.
- Qualifications: PhD in a relevant field and expertise in machine learning for biomolecular systems.
The predicted salary is between 60000 - 80000 £ per year.
Instruct-ERIC is seeking a highly motivated Postdoctoral Researcher in Cambridge to connect machine learning with experimental data for biomolecular modeling. Candidates should have a PhD or equivalent in a relevant field and deep expertise in ML applied to biomolecular systems.
Your responsibilities include:
- Bridging models with experimental signals
- Designing ML-ready datasets
- Building automated data processing pipelines
This role offers collaborative opportunities in a cutting-edge research environment.
Biomolecular AI Postdoc: Experimental Data Integration employer: Instruct-ERIC
Instruct-ERIC is an exceptional employer, offering a dynamic and collaborative research environment in the heart of Cambridge. With a strong focus on employee growth, we provide ample opportunities for professional development and innovation in biomolecular modeling. Our commitment to integrating machine learning with experimental data not only fosters cutting-edge research but also ensures that our team members are at the forefront of scientific advancements.
