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forcing wind turbines offline or heatwaves and droughts reducing cooling water availability for thermal power generation. Of particular concern are compound energy droughts, where multiple stressors occur
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that complement your work. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes
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Apply now The Faculty of Science and Leiden Institute of Advanced Computer Science (LIACS) are looking for candidates for a: PhD in Deep learning for Electron Microscopy pipelines (1.0 fte) As a PhD
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addition to these first-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team. The gross salary for the first year is
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assisting in courses. Requirements Desired profile A master degree in computer science, artificial intelligence, or (very) similar. Self-drive, creativity, rigor, sense of ownership, and excitement to push
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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and
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, for whom and why. Conduct multiple case study research adopting various qualitative and quantitative research methodologies. Build bridges between theory and VET education practice (back and forth) and
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in the Power Electronics Group at UT and collaborate with experts from Seine Batteriesysteme, NRG2Fly, and multiple airports. The project also supports open-source developments in MW-charging protocols
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motivated by contributing to the advancement of scientific knowledge. Furthermore, you bring multiple of the following qualifications: Scientific and Technical Competence You hold an MSc degree in Chemical
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achieved consensus. The PRELIFE consortium brings together leading researchers from a wide spectrum of disciplines—including astronomy, biology, chemistry, computer science, earth and planetary sciences