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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.
Danmarks Tekniske Universitet

PhD scholarships on “Live” Visualizations of Single Nanoparticle Catalysts at the Atomic-Scale - DTU Physics

Kgs. Lyngby

Could you envision “seeing” chemical reactions being catalyzed at the atomic-scale? Two or more scholarships are now open for experimental research in nanoparticle catalysis using advanced operando electron microscopy at the Center for Visualizing Catalytic Processes (VISION).

VISION is developing and applying a new unique platform for visualizing catalytic nanoparticles and reactions at the atomic-level by integrating cutting-edge electron microscopy, microfabricated nanoreactors, nanoparticle synthesis and computational modelling. This approach enables new, direct operando observations that are urgently needed to advance mechanistic insight into catalytic processes at the atomic-scale.

Datalogisk Institut, Københavns Universitet
Gem

Postdoc positions in Computer-Supported Cooperative Work (CSCW) and applied Machine Learning (ML)

København Ø

The Department of Computer Science (DIKU), Faculty of Science at University of Copenhagen, invites applicants for two postdoc positions.

Indrykket:

2 positions as Postdoctoral Fellow in Liver Metabolism and/or Genomics in the Andersen Group at BRIC

København N

Positions as postdoc in primary liver cancer metabolomics and data integration are available for motivated and independent candidate in the Andersen Group at BRIC.

Indrykket:
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