88 distributed-computing-"U"-"Washington-University-in-St" Postdoctoral positions in Netherlands
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); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
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. The Directorate of Space Transportation is a programme directorate within the ESA matrix structure, whose activities are performed in cooperation with the other ESA directorates and the Director General’s Services
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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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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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/video segmentation, object tracking, reinforcement learning. Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation
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to have the following skills and experience. We welcome applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep
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26 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
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26 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
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learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical settings