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objective of this project is to compare the modern philosophy of Bildung and the contemporary paradigm of the Learning Society (LS) by systematically analyzing their homological structures. Through
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variety of relevant biological systems. We are looking for a candidate, who • Holds a Master’s degree and a PhD in physics, biophysics, physical chemistry or a related field • Has several years
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree
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Internet of Things (Hardware, Node-red, JavaScript) Satellite Image Processing R&D and scientific dissemination Experienced in Portuguese/European research projects, minimum 3 years (Mandatory). Experience
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comprises three PhD students and is supported by one technician, along with rotating students. The lab is located in the Biomedicine Department at the Faculty of Medicine (Campus Clinic) of the University
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engineering-based research applicable to cardiovascular disease as part of an extramurally funded project. The successful applicant will create computational models from medical imaging data and run simulations
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models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions
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preferably start around 01-12-2025 and requires knowledge of geometric image processing and machine learning. Information As Post-doctoral Researcher within VICI Project "Geometric Learning for Image Analysis
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characterization of germanium detectors, develop advanced Monte Carlo models and AI-driven analysis tools to optimize detector response, and to promote precision medical imaging and low energy dark matter searches