20 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"European-Space-Agency" positions at Amsterdam UMC in Netherlands
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department is highly interdisciplinary with informatics researchers working closely together with practicing cardiologists to advance the use of AI for personalised treatment. The ultimate goal is to be able
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cell-based disease modelling, neuroscience and translational research. Through planned secondments, you will also gain experience with MLC animal models and computational chemistry approaches
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institutions and several industrial partners with extensive expertise in quantitative imaging, image analysis and imaging technology. By conducting research in both academic and industrial settings, PhD
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Vrije Universiteit Brussel (VUB) is the recruiting organisation for this position. You will be employed by the Molecular Imaging and Therapy (MITH) research group and embedded in the POLARIS consortium. Your academic supervision will be provided by Prof. Timo De Groof and Prof. Nick...
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institutions and several industrial partners with extensive expertise in quantitative imaging, image analysis and imaging technology. By conducting research in both academic and industrial settings, PhD
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, disease monitoring and treatment evaluation. You will work closely with researchers in human genetics, computational biology and clinical neurology and collaborate with POLARIS partners across Europe
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patient-informed treatment priorities. To achieve this, POLARIS brings together expertise in leukodystrophy biology, advanced disease models, therapeutic innovation, biomarker development, clinical
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patient-informed treatment priorities. To achieve this, POLARIS brings together expertise in leukodystrophy biology, advanced disease models, therapeutic innovation, biomarker development, clinical
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patient-informed treatment priorities. To achieve this, POLARIS brings together expertise in leukodystrophy biology, advanced disease models, therapeutic innovation, biomarker development, clinical
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procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop probabilistic digital twins of coronary arteries. The goal is to create patient-specific