Scientific Researcher in Machine Learning for Healthcare
vor 2 Monaten
About the Role
We are seeking a highly skilled Scientific Researcher to join our team at the Biomedical Data Science Lab (BMDS). As a Scientific Researcher in Machine Learning for Healthcare, you will play a key role in developing and improving machine learning models for predicting health outcomes in intensive care units.
Key Responsibilities
- Conduct a thorough review of 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 to enhance their accuracy and effectiveness.
- Report the findings in the form of research publications and present them to the team and stakeholders.
Requirements
- Recently completed Master's degree in Computer Science, Data Science, Machine Learning, Electrical and Computer Engineering, Computational Biology and Bioinformatics, Health Sciences and Technology, 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 using TensorFlow and PyTorch.
- Excellent written and oral communication skills in English.
- Ability to work independently and collaboratively in a team environment.
Preferred Qualifications
- Project experience 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, workshops, or symposiums.
- Swiss/EU citizens and Swiss work permit holders are preferred due to the tight timeline.
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