30 image-processing-postdoc PhD positions at Delft University of Technology (TU Delft)
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materials at the micro-to-nano-scale. To this end, the lab has developed a technique for imaging spin waves – microscopic waves in magnetic materials - based on magnetic sensing with nitrogen-vacancy (NV
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Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated PhD student to work on Process Systems Engineering Job description We are seeking a
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PhD Integrated Control & Protection of AC-DC Grids for Secure Operation of Arbitrary Grid Topologies
for combined AC/DC transmission power systems. Job desciption The focus of this project is to design, develop and implement new protection and control schemes that will provide secure operation of AC-DC grids
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Job related to staff position within a Research Infrastructure? No Offer Description Wastewater transport systems into 2050: dealing with uncertainties in design, operation and maintenance. Job
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Job related to staff position within a Research Infrastructure? No Offer Description Do you want to combine strong engineering and computer modeling skills with human-interactive robotics to improve
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scenarios. This PhD position focuses on performing towing tank experiments and high-fidelity flow field measurements using Particle Image Velocimetry (PIV) to validate CFD models. Beyond validation
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Job related to staff position within a Research Infrastructure? No Offer Description Aneoribic fermentation in dairy processes is a key step in a.o. yoghurt production. The key challenge the industry
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Theme V Recovery. The programme offers an ambitious high-gain challenge that goes beyond what’s state-of-the-art to find greener alternatives to well-established processes and raw materials in
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-of-the-art equilibrium and optimization models to capture market clearing and price formation processes, market distortions and policy interventions. These models allow addressing policy-relevant research
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some academic research experience post-Master level. Demonstrable affinity with archival sources. Strong skills in GIS-based research, additional experience with computer vision and machine learning is a