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Data Scientist in Statistical Learning
5 days ago
The University of Gothenburg is a large and inspiring place to work and study, with a strong research profile and attractive study programs that attract researchers and students from around the world.
We are seeking a doctoral student in statistics and machine learning who will contribute to the development of methods to bridge the gap between classical statistics and deep neural networks under the supervision of Professor Rebecka Jörnsten.
This project aims to explore the connection between deep and kernel learning in multiple directions, including how models learn, how they can be trained jointly, and how these methods can be used for flexible, interpretable, and robust modeling of large-scale biobank and cancer genomic data.
QualificationsTo qualify for this position, applicants must have obtained a master's degree or a 4-year bachelor's degree in mathematics, applied mathematics, mathematical statistics, or a relevant field, or expect to complete such a degree prior to the start of employment.
Experience in one or more of the following areas may be beneficial: theory of deep neural networks, high-dimensional statistics, kernel methods, and programming.
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Gothenburg, Västra Götaland, Sweden Chalmers tekniska högskola Full timeJoin 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...
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