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DTU, Danmarks Tekniske Universitet

PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute

Kgs. Lyngby

Do you want to do research on cutting edge machine learning methods?

If you are establishing a career as a researcher in machine learning, and you are motivated to work with the latest methods for quantifying uncertainty in neural networks, we can offer you the best possible foundation.

During the PhD program, you are expected to:

  • Develop novel methods for uncertainty quantification in deep learning.
  • Work with state-of-the-art nerual network architectures applied to molecular data.
  • Publish scientific papers and present research results in top machine learning conferences such as NeurIPS, ICML, UAI, and AISTATS.

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