Geometric Deep Learning in Basel

Vor 5 Tagen

Basel, Basel-Stadt, Schweiz talendo AG Vollzeit

We believe that Prescient Design's platform and expertise, combined with our growing internal computational capabilities, can ultimately help us bring better medicines to patients, faster. Our Machine Learning and Drug Discovery team is focused on advancing fundamental machine learning and their application to real-world challenges in drug discovery.

Program Highlights

This master thesis internship position is located in Basel, Switzerland, on site. The opportunity includes developing a method using geometric machine learning for explainable hydrophobicity estimation of antibodies, backed by in-vitro datasets.

You will collaborate closely with our team in Basel, New York, and San Francisco. The program highlights include an intensive 6 months, full-time (40 hours per week) internship, flexible program start dates, and the opportunity to work with some of the most talented people in the biotechnology industry.

Requirements:

  • Pursuing a Master's degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Physics, or related technical fields.
  • Good knowledge of machine learning fundamentals and familiarity with graph neural networks, geometric deep learning, or explainability approaches would be helpful.
  • Hands-on experience building and training neural networks with at least one DL framework (preferably PyTorch).

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