Machine Learning and Statistical Modeling Specialist

5 days ago


Gothenburg, Västra Götaland, Sweden Göteborgs Universitet Full time

About the Project

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The project, funded by the Swedish Research Council, aims to explore the connection between deep and kernel learning, 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.

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The successful candidate will have the opportunity to work on developing novel methods for modeling large-scale biobank and cancer genomic data and exploring the connection between deep and kernel learning.

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Key Qualifications

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  • A master's degree or a 4-year bachelor's degree in mathematics, applied mathematics, mathematical statistics, or another relevant field.
  • Good presentation and communication skills in oral and written English.
  • Experience in theory of deep neural networks, high-dimensional statistics, kernel methods, and programming is desirable.
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Applicants should submit their application, including all relevant work, such as bachelor's or master's thesis and articles, with an English summary if necessary.



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