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 cutting-edge research team and enhance your skills.
- Why this job: Make a real impact in biomolecular AI and advance your career.
- Qualifications: PhD in a relevant field and expertise in ML 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 in Cambridge employer: Job Search Place Limited
Instruct-ERIC is an exceptional employer that fosters a collaborative and innovative research environment in the heart of Cambridge. With a strong emphasis on employee growth, we provide ample opportunities for professional development and engagement in groundbreaking projects at the intersection of machine learning and biomolecular science. Our supportive work culture encourages creativity and teamwork, making it an ideal place for researchers looking to make a meaningful impact in their field.
