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Field
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models. by combining cutting-edge data science with advanced clinical expertise and imaging technologies. Your colleagues: A dynamic, interdisciplinary team of intensivists, clinical technologists, PhD
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understand the EUV-emitting plasma through radiation-hydrodynamics simulations Large amount of (image) data and a wide range of existing data analysis tools, allowing you to apply and develop your data
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Our goal: To better understand how the brain’s vascular architecture contributes to health and disease, and to advance 3D imaging methods for neuroscience. Your colleagues: An interdisciplinary team
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of what microscopes can achieve. You will create and apply sophisticated algorithms, physics-based simulations, and machine learning models to process complex data from our cutting-edge imaging systems
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domains with advanced methods development. Various brain imaging methods are employed to describe or manipulate behaviour, including (intracranial) EEG, functional MRI, and non-invasive brain stimulation
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now includes five years of follow-up data. You will focus on linking the molecular data with clinical data, which is being analyzed by clinical researchers. Additionally, you may integrate imaging data
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(GenIR), a new and rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage
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Technology are also welcome, particularly if their thesis work involved medical robotics, control systems, or image-guided interventions. Experimental Skills: Experience with experimental research in robotics
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precise cancer removal. Utilizing Artificial Intelligence to Segment Echo Images of Tongue Cancer Intraoperatively to Facilitate Radical Resection Squamous cell carcinoma (SCC) of the tongue is a rare yet
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of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate cutting-edge