Join our dynamic team at the forefront of AI-driven protein design! We are a leading research group dedicated to implementing generative AI models to revolutionize protein engineering and design. Our multidisciplinary team combines expertise in bioinformatics, machine learning, and experimental molecular biology to tackle pressing challenges in protein design.
Details
- Country: Spain
- Organization: Center for Genomic Regulation
- Degree: you can obtain Ph.D.
- Who can apply? Students of all nationalities
- Deadline: 23 May 2024
Available programs
- Sequence analysis and bioinformatics tools
Benefits provided by the scholarship
This scholarship offers many different benefits, which you can learn about below:
- Free study
- Monthly salary
Documents required to apply for the Scholarship
You must prepare the following documents to use in applying for this grant. The required documents are:
- A motivation letter addressed to Dr Noelia Ferruz.
- A complete CV including contact details.
- Contact details of two referees.
Role of the student
We are seeking a highly motivated PhD student to join our team! The successful candidate will work at the intersection of machine learning and bioinformatics, implementing advanced techniques such as encoder-decoder language models, graph neural networks, and contrastive learning to annotate protein sequences with precision and efficiency.
- Develop and implement novel machine learning algorithms for protein sequence annotation.
- Design and train encoder-decoder language models tailored to protein sequence data.
- Explore graph neural network architectures for capturing complex relationships in protein sequences.
- Investigate contrastive learning techniques to improve representation learning for protein annotation tasks.
- Collaborate closely with other team members to integrate developed models into existing pipelines for protein design.