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on the outcomes of their previous collaboration and entering new technological areas as well. GOODYEAR-LIST partnership 2.0 embraces Luxembourg's National priorities, such as Sustainability, Digital transformation
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] . Technical skills The profile requires solid technical skills relating to the automatic processing of digital documents containing both text and images. In particular, the candidate must be able to demonstrate
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | 7 days ago
assessment of solid surface wettability). Advanced experience in digital image analysis. Specific Requirements An application. Completed and signed “Consent to the processing of personal data for the needs
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applications for a 12-month position as either a Research Assistant (Level 2) or Postdoctoral Researcher (Level 1) (depending on qualifications and experience), with a speciality in statistical image processing
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Media Interaction and the Psychology of Conflict, Risk, and Safety groups of the University of Twente, working on novel, mixed paradigm VR training technology for first responders who encounter people
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into practical tools, guidelines, and prototype implementations. Furthermore, the candidate may contribute to broader research efforts, including digital chart compilation workflows, geospatial data processing
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17.03.2026, Academic staff Hiring a postdoc (E14, 48 months) for TWIN-X, a Horizon Europe project on digital patient twins using generative AI (18 partners, 12 countries, 15/15 score). Focus
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of anatomical and pathological regions of interest Image enhancement e.g. improving resolution, noise, artefacts etc. Synthetic radiography Your job responsibilities As Postdoc in advanced image processing your
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approaches will involve the use of helium-filled soap bubbles as flow tracers, combined with multi-directional imaging and illumination for omni-directional flow measurements. These elements form the basis
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during