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Field
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requirements: A PhD degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline. Solid knowledge of fluid mechanics, computational fluid dynamics (CFD), and optimization using
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any area related to the project (e.g. Translation Studies, Digital Humanities, Linguistics, Literary Studies, Information Science, Computer Science, Cognitive Science/Psychology). Experience using eye
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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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technology to the market. We focus on exploiting the intrinsically high sensitivity of these platforms as, e.g., accelerometer or electromagnetic field sensor, while addressing critical practical aspects
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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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10 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Materials engineering Engineering » Nuclear engineering Researcher Profile
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70 researchers, from PhD candidates to postdocs and senior staff, with backgrounds spanning the social and technical sciences. This interdisciplinary approach makes us unique: we combine different
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and employs 700 staff. Education is organised into six programme clusters: Psychology; Artificial Intelligence; Pedagogical Sciences and Educational Sciences; Communication Science; Sociology; and
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for plastics using mechanochemistry. You will enter a relatively unexplored field of chemistry together with an expanding team of 5 PhD candidates and an experienced postdoc. The core objective of this project