PhD Student - Machine Learning for Biosystems Engineering
Basel Headquarter, Switzerland
CHF 61K-67K (estimate) Entry-level Full Time
Tasks
- Apply machine learning for cell fate engineering
- Build multimodal integration models for imaging and genomics data
- Conduct predictive machine learning for high throughput perturbation screens
- Develop machine learning methods for organoid phenotyping
- Implement active learning for iterative experimental design
- Perform causal and mechanism discovery from high content perturbation experiments
- Publish research and contribute to open-source tools
Perks/Benefits
Skills/Tech-stack
CI/CD | Data Analysis | Data Visualization | Git | JAX | Linear Algebra | Machine Learning | PyTorch | Python | Statistics | TensorFlow
Education
Roles
Machine Learning Researcher | PhD Student | Researcher | Student
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