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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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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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we employ state of the art neuroimaging techniques, including electroencephalography (EEG), eye-tracking, magnetic resonance imaging (MRI), functional near-infrared spectroscopy (fNIRS), and non
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Experience with classical and modern Computer Vision Familiarity with robotic simulation software: Gazebo, Omniverse Language Skills: Fluent written and verbal communication skills in English are required
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science. Fluent in English. Meriting: Experience in remote sensing data processing and analysis Knowledge of image analysis, signal processing etc. Knowledge of machine learning methods Knowledge in statistics