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Wind Energy Yield Specialist

As a Wind Energy Yield Specialist, you will perform Wind Energy Yield Assessments for our hybrid PV solar + Wind systems throughout the different phases of the project development and report the results supporting other teams. Your inputs and expertise will produce valuable insights to determine optimal design at different locations based on business needs.

As part of a growing team, you will be responsible of the creation and continuous improvement of our Wind Energy Yield modelling processes, and will assist in the creation of best practice guidelines and reporting/analysis automations.

Energy Yield Specialist

We are looking for an Energy Yield Specialist with a strong understanding of solar photovoltaic systems and experience in the modelling of utility-scale PV parks to make an impact that matters.

This is an exciting opportunity to join a high-growth company with a unique business model in a workplace where you can truly make a difference. We are currently 500+ employees across 31 different nationalities and counting, and we are looking for an Energy Yield Specialist to join our Energy Yield team in Copenhagen.

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.

PhD scholarship: Computational Prediction of Nuclear Fission Products Behavior in a Molten Salt Reactor – DTU Chemistry

A 3-year PhD scholarship concerned with the use of computer simulation for predicting fission products (FP) behavior – such as solubility – in a Molten Salt Reactor (MSR) is available.

In the SolveMSR project – funded by the Independent Research Fund Denmark – we will work towards creating a computational framework for predicting FP behavior in the fuel salt matrix of MSRs. We will benchmark the framework against experimental data.

PhD scholarship in Cryptography – DTU Compute

We are looking for a bright, ambitious, and motivated PhD student to join the cryptography group in the Cybersecurity Engineering Section.

The goal of the PhD project is to improve the state of threshold post-quantum cryptography.

Your main task will be to design new threshold cryptographic algorithms with post-quantum security.