Postbaccalaureate Appointee – Machine Learning for Viral Glycosylation Prediction
Tasks
- Collaborate with scientists to interpret predictions and improve methods
- Collect curate preprocess integrate biological datasets
- Deploy and optimize workflows on high performance computing systems
- Design graph neural network models for protein representations
- Develop machine learning models for glycosylation site prediction
- Develop software tools and computational workflows using machine learning frameworks
- Document software datasets workflows and results for reproducibility
- Prepare technical reports presentations and documentation
- Train validate benchmark and analyze model performance
Perks/Benefits
- N/A
Skills/Tech-stack
Data Preprocessing | Deep learning | GPU Computing | Git | Graph Neural Networks | High Performance | High-Performance Computing | JAX | Linux | Machine Learning | Model Benchmarking | Model Validation | Neural Networks | Performance Computing | PyTorch | PyTorch Geometric | Python | Scientific Computing | TensorFlow
Education
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