Machine Learning Researcher for Healthcare Applications
vor 3 Wochen
Job Title: Scientific Assistant in Machine Learning for Healthcare
About the Role:
We are seeking a highly skilled Machine Learning Researcher to join our team at the Biomedical Data Science Lab (BMDS). As a Machine Learning Researcher, you will be responsible for developing and implementing deep learning models for predicting health outcomes in intensive care units.
Key Responsibilities:
- Review the latest machine learning literature on time series data processing and prediction tasks in intensive care units.
- Develop deep learning models for predicting health outcomes using multimodal time series data.
- Improve the models with personalization techniques.
- Report the findings in the form of research publications.
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.
- 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, workshops, or symposiums.
Working with Us:
As a member of our team, you will have the opportunity to work on cutting-edge projects and collaborate with a talented group of researchers and engineers. We offer a dynamic and supportive work environment, with a focus on professional development and growth.
How to Apply:
Interested candidates should submit their application, including a cover letter and resume, to [insert contact information].
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