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Student Assistant for advanced analytics
Imagine a future where you’ll assist our transition towards a sustainable future by using your skills within advanced analytics, statistics, and data visualisation.
Join us in this role where you’ll help develop data and statistically driven tools for our trading floor. You’ll influence decisions and handle tasks on your own, thereby contributing with your knowledge and expertise.
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...
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