Software Developer for Biosignal Processing

Vor 7 Tagen


Duisburg, Nordrhein-Westfalen, Deutschland Fraunhofer-Gesellschaft Vollzeit
Job Description

As a Research Assistant at the Fraunhofer-Gesellschaft, you will be working on the implementation of a machine learning-based pulse curve prediction system. Your primary responsibilities will include:

  • Evaluating and understanding the anatomical and physiological principles underlying the biosignals used in the project
  • Developing and implementing a software pipeline for preprocessing raw biosignals
  • Designing and implementing multiple machine learning approaches for predicting continuous blood pulse waveforms
  • For Master's thesis: Evaluating and comparing the performance of different machine learning algorithms

Requirements:

  • Master's degree in Electrical Engineering, Computer Science, Biomedical Engineering, or a related field
  • Excellent programming skills in Python
  • Experience with machine learning algorithms and techniques
  • For Master's thesis: Prior experience in machine learning is highly desirable

We value diversity and inclusion in the workplace and welcome applications from candidates with diverse backgrounds and experiences.

The Fraunhofer-Gesellschaft is a leading organization in the field of applied research and development, and we are committed to creating a work environment that is inclusive and supportive of all employees.



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