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PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute
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.
Postdoc in Data Driven Modeling for Monitoring Wind Turbine Bering Operation
At the Technical Faculty of IT and Design, Department of Electronic Systems, a position as postdoc in Data Driven Modeling for...
PhD Stipends within Distributed, Embedded and Intelligent Systems
At the Technical Faculty of IT and Design, Department of Computer Science, a number of PhD stipends are available within the Computer Science study program.
Associate Professor position in Mathematical Analysis or Probability Theory
Find den lokale medarbejderportal for dit institut eller område.
PhD position in development of organic rainbow trout breeding schemes and breeding goals
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the...
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