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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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, digital intervention to improve youth mental health and help-seeking. You will assist with the preparation of study materials, ethics submissions and grant applications, as well as data collection, analysis
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challenges of our time is straining our ability to exert cognitive control. Our Digital Age is characterized by a continuous flow of multi-source information. One of the pinnacle strategies to process that
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into prototype systems with practical application potential. Contribute to fabrication process optimization, device prototyping, data interpretation and technical documentation for project milestones and
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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directly at the edge. The postholder will investigate novel hardware–software co‑design approaches enabling AI‑driven video processing on energy‑harvesting devices under extreme power constraints
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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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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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Responsibilities Processing/Archiving (20%) Rocks: Weigh, cut, and image new collections of dredge and dive rocks with student workers. Cores: Split and image cores with student workers. Archive any associated
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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system