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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
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on wind turbines and ships. This involves advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement
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perform a prospective trial at the Dutch Breast Cancer Screening Program to determine the impact on screening performance when optimizing the radiologist’s interpretation. This trial will involve two
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Job description Various emerging device technologies and computing paradigms are being investigated for energy-efficient artificial intelligence (AI) applications. Some examples are RRAM or STT-MRAM
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Applications are invited for a Postdoc position within the research project “Uncovering the creative process: from Inception to Reception of translated content using machine translation” (INCREC
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Job description Computation-in-Memory (CIM) is being investigated for energy-efficient artificial intelligence (AI) applications. However, this new computing paradigm faces various design challenges
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durability data with advanced numerical simulations. The researcher will be based in the Microlab (Section Materials & Environment), Faculty of Civil Engineering and Geosciences, Delft University of Technology
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12 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Physics » Optics Physics » Quantum mechanics Researcher Profile Recognised Researcher (R2
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Netherlands Application Deadline 30 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Applications are invited for a Postdoc position within the
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the heating of microscopic aggregates of thermoplastic cut tapes, with the goal of accelerating process development for circular materials. You will generate valuable multi-scale data (micro- to mesoscopic