PhD Student in T Cell Immunoinformatics

Job summary

A PhD position is available in the field of T Cell Immunoinformatics at a leading technical university, focusing on developing advanced deep learning methods for immune receptor biology. The project aims to improve predictive models of T cell receptor interactions through innovative computational approaches.

Qualifications

• A two-year master's degree (120 ECTS points) or equivalent academic level.
• Strong background in machine learning/deep learning and immunoinformatics.
• Knowledge of structural biology and protein structure modeling is advantageous.
• Understanding of basic concepts of the cellular immune system is a plus.
• Strong communication skills in written and verbal English.
• Ability to take personal responsibility for work and results, with flexibility and a positive attitude.

Responsibilities

• Develop deep learning tools optimized for immune receptor interactions.
• Integrate biological knowledge with computational models to enhance predictive performance.
• Utilize active learning and data denoising strategies to refine models.

Skills

• Proficiency in machine learning and deep learning techniques.
• Familiarity with immunoinformatics and computational biology.

Education

• Required: Two-year master's degree or equivalent.

Tools

• Deep learning frameworks and bioinformatics software (specific tools not mentioned).