Senior Machine Learning Engineer for Healthcare
vor 3 Wochen
Job Title: Senior Machine Learning Engineer for Healthcare
You will work in the Biomedical Data Science Lab (BMDS) as a Senior Machine Learning Engineer for Healthcare. Your primary responsibility will be to develop and improve deep learning models for predicting health outcomes using multimodal time series data.
Responsibilities:
- Review the latest machine learning literature on time series data processing and prediction tasks in intensive care units.
- Use data from national projects and publicly available ICU datasets to develop deep learning models.
- Improve the models with personalization techniques.
- Report the findings in the form of research publications.
Requirements:
Qualifications:
- Master's degree in Computer Science, Data Science, Machine Learning, or related fields.
- Strong programming skills in Python.
- Experience working with large datasets, high-performance computing environments, and Linux operating systems.
- Experience developing machine learning and deep learning models.
- Excellent written and oral communication skills in English.
- Ability to work both independently and collaboratively in a team environment.
Preferred Qualifications:
- Project experiences in developing deep learning models.
- Knowledge of model fairness, robustness, and domain adaptation.
- Experience working with multimodal time series data.
- Publications in machine learning or sensor data processing-oriented conferences.
Contact Information:
Please send your application to the Biomedical Data Science Lab (BMDS).
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