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of Sciences is looking for a full-time (100%) doctoral scholarship holder in the field of medical image processing and analysis using deep learning. This position is part of the ERC Consolidator project “A data
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 1 day ago
the approaches (i) and (ii) regarding the prediction of tumour control # Calibrate radiomics software for improved processing of PET imaging # Harmonise PET image processing to reduce the impact of measurement
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Modern deep learning techniques achieve human-like performance in many medical image analysis tasks, including the identification of anomalous tissue/pathology from medical scans. To be trained
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on the electrochemical processes involved in the enzymatic electrodes. This thesis project, at the interface between chemistry and physics, aims to establish an experimental system combining electrochemical measurements
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conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially
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an innovative technique called speckle contrast optical tomography (SCOT) with the potential to provide 3D images of cerebral blood flow in the infant brain. The main objectives are: To develop a small wearable
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integrated closed-loop supply chain for prefabricated modular construction and focuses on three main goals: 1) a roadmap for transitioning to a digitally integrated circular supply/value chain, 2) a prototype
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integrated circular supply/value chain, 2) a prototype digital twin for scenario analysis for off-site logistics planning, and 3) a prototype information system for digital product flows in the chain. This PhD
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the feasibility, practicality and success evaluation of prototype implementations. The team you will be working with: Mike Papadakis Yves Le Traon PhD Student Role: Under the direction of a professor, the candidate
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of the Faculty of Science and Technology (TNW) and embedded in the Biomedical Imaging and Sensing department. The CRPH group is also involved in the Medical Physiology and E-health Technology research