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Deep Learning Researcher

hace 2 meses


Barcelona, Barcelona, España Centre For Genomic Regulation A tiempo completo
About the Role

The Centre for Genomic Regulation (CRG) is a leading international biomedical research institute, based in Barcelona, Spain, with a diverse team of over 400 scientists from 44 countries.

Job Summary

We are seeking an exceptional candidate to join our AI for protein design group, where you will be responsible for training generalist agents for the controllable generation of protein design that benefit from interpretability and continual learning.

Key Responsibilities
  • Curate datasets from different modalities
  • Perform ablation studies
  • Implement innovative training architectures
  • Train generalist agents
  • Benchmark the generation quality of the output proteins
Requirements
  • Good knowledge of at least one machine learning framework (PyTorch, TensorFlow, HuggingFace)
  • Good understanding of software engineering and good code practices
  • The capability of thinking out of the box and working independently in a very fast-paced science environment
Desirable Qualifications
  • PhD in Computer Science, Bioinformatics, or a related field
  • Education and training in MSc in Computer Science, Chemistry, Physics, Maths, or a related discipline
  • Good communication skills in English
What We Offer

We offer a highly stimulating environment with state-of-the-art infrastructures and unique professional career development opportunities.

We provide a generous salary, commensurate with qualifications and consistent with our pay scales.

We promote a diverse and inclusive environment and welcome applicants regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation, or gender identity.

We are committed to reconciling work and family life of our employees and offer extended vacation periods and the possibility to benefit from flexible working hours.

How to Apply

All applications must include a motivation letter addressed to Dr. Noelia Ferruz and contact details of two referees.

Please submit your application online through the 'Apply' button below.