Machine Learning Researcher for Healthcare
vor 4 Wochen
Job Opportunity
At the Biomedical Data Science Lab (BMDS), we are seeking a highly skilled Machine Learning Researcher to join our team. The successful candidate will be responsible for developing and implementing deep learning models for predicting health outcomes in intensive care units.
Key Responsibilities:
- Review and analyze the latest machine learning literature on time series data processing and prediction tasks in intensive care units.
- Develop and train deep learning models using multimodal time series data from national projects and publicly available datasets such as MIMIC IV, HiRID, and eICU.
- Improve the models with personalization techniques and report the findings in research publications.
Requirements:
- Master's degree in Computer Science, Data Science, Machine Learning, or related fields.
- Strong programming skills in Python and 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, and a willingness to learn about biomedical applications of machine learning and deep learning models.
Preferred Qualifications:
- Project experiences in developing deep learning models, knowledge of model fairness, robustness, and domain adaptation, and experience working with multimodal time series data.
- Publications in machine learning or sensor data processing-oriented conferences, workshops, or symposiums.
Working with Us:
We are a dynamic team of researchers and engineers dedicated to advancing the field of biomedical data science. We offer a collaborative and innovative work environment, with opportunities for professional growth and development.
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