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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- University of Amsterdam (UvA)
- University of Twente (UT)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Maastricht University (UM)
- University of Amsterdam (UvA); Published 21 Nov ’25
- University of Amsterdam (UvA); today published
- University of Twente
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Field
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of these two postdoc positions is to contribute to the modelling, simulation, and optimization across different LDES technologies, from device (ESS+inverter) to system level (grid integration) under different
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty of EEMCS and the Power Electronics group at the University
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22 Nov 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
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4 Dec 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Systems engineering Researcher
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designing and benchmarking integration algorithms. The position is situated in the Intelligent Data Engineering Lab and will be supervised by Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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24 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Computer hardware Computer science » Digital systems Engineering
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Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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increasing environmental awareness. However, most existing hearing aid algorithms optimize for only one of these objectives at a time, often at the expense of the others. To enhance hearing aid performance
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image processing and analysis method development. The position builds on the lab's track-record in the field of computational imaging techniques for super-resolution microscopy and image analysis