Data Scientist in Statistics and Machine Learning

5 days ago


Gothenburg, Västra Götaland, Sweden Chalmers tekniska högskola Full time

Join our research team to develop innovative statistical and machine learning approaches for personalized medicine As a doctoral student in statistics and machine learning, you will work closely with Professor Rebecka Jörnsten to advance knowledge in statistical and machine methods for personalized medicine.

You will be responsible for developing novel statistical and machine learning techniques to identify new treatments and tailor therapies for individual patients in the context of brain diseases. Collaborations with partners at Uppsala University, Linköping University, Chalmers University of Technology, and the University of Gothenburg are expected.

A Master's degree or 4-year Bachelor's degree in Mathematics, Applied Mathematics, Mathematical Statistics, or a related field is required. Strong communication and presentation skills in English are essential.

Additional bonus points may be awarded for expertise in reinforcement learning, statistical machine learning, programming, and working with diverse data sources and/or biological applications.



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