Forskare i maskininlärning
Core
Implementing deep learning models for EKG data analysis to support clinical healthcare applications and developing prototypes for future healthcare systems.
Role type
Researcher (PhD level) in Machine Learning
Builds
Clinical-grade AI prototypes for EKG interpretation and research codebases
Domain
Biomedical engineering / Healthcare / Machine Learning
Deliverable
production ML models | research
Required skills
Deep learning (general and EKG-specific), probabilistic modeling, dynamic systems, AI software development, scientific writing
Preferred skills
Method development for deep learning, creativity, structured problem solving
Technologies
Deep learning frameworks, EKG data processing tools
Responsibilities
Analyze user needs in clinical EKG scenarios, develop and verify industrial prototypes, train and adapt deep learning models, convert research code to maintainable software packages, write scientific articles and technical documentation
Seniority
Senior, hands-on IC researcher