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Key takeaways To bring computing power to the edge and to make the cloud sustainable, various paradigms for energy-efficient computing are emerging. These paradigms, for example neuromorphic, wave
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isotachophoresis (dzITP) device for highly efficient preconcentration, separation, and filtration of biomolecules. The next phase of this work involves coupling this microfluidic technology directly to MS—leveraging
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: 12 September 2025 Apply now Join the faculty of Geosciences as a postdoctoral researcher! You will work on carbon turnover models and the fusion of data science forecasting methods with process-based
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August 2025 Apply now Machine Learning models are increasingly important in the atmospheric sciences. After training, they can emulate model outcomes at a fraction of the computational cost of traditional
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Division, Systems Department, Directorate of Technology, Engineering and Quality. The Future Engineering Division, in support of the programme directorates, is responsible for developing and providing
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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on carbon turnover models and the fusion of data science forecasting methods with process-based models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your
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contribute to other aspects of performing science in a larger research collaboration, i.e. managing the project, exchanging ideas within a multidisciplinary team, (co-)writing grant proposals, and
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management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering