Student Assistant AI Machine Learning
Tasks
- Clean and structure sequencing data
- Conduct exploratory data analysis
- Develop machine learning models for cancer detection
- Document methodologies results and validation metrics
- Evaluate model performance
- Improve model robustness scalability and accuracy
- Integrate validated models into CaniSense platform
- Optimize machine learning models
- Perform feature engineering
- Perform hyperparameter tuning
- Preprocess sequence datasets
- Run experiments
- Train machine learning models
Perks/Benefits
- Flexible working hours
- Good cooperative working atmosphere
- International team collaboration
- Modern workplace
- Part-time option
Skills/Tech-stack
Data Analysis | Data Preprocessing | Experimental Design | Explainable AI | Exploratory Data Analysis | Feature Engineering | Git | Hyperparameter Tuning | Jira | Machine Learning | Model Evaluation | Neural Networks | NumPy | Pandas | PyTorch | Python | Scikit-learn | Statistical modeling | TensorFlow
Education
Roles
Assistant | Engineer | Learning Engineer | Machine Learning Engineer | Student | Student Assistant
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