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multimodal deep learning models that integrate imaging and clinical data to personalize treatment and follow-up strategies. In the Netherlands, around 75% of patients with an abdominal aortic aneurysm (AAA
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: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
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single-cell and spatial transcriptomics, whole-genome sequencing, high-throughput screening, CRISPR-based functional screening, and patient-derived organoid models. You will work closely with in-house
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We are looking for a postdoctoral researcher with experience in generative AI, multimodal representation learning, and modelling face-to-face dialogues for our NWO-funded project “Grounded Gesture
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, high-throughput screening, CRISPR-based functional screening, and patient-derived organoid models. You will work closely with in-house technology platforms, including the Single Cell Genomics Facility
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laboratory scale environment for further experimental work. Design and perform lab-scale experiments in the laboratories at TU Delft. Develop a mathematical model including chemical reactions, gangue
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of, or leaching from, building materials when exposed to aggressive service environments, are studied. The investigations are carried out based on experimental observations and modeling. The research group
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select a technique adaptable in the laboratory scale environment for further experimental work. Design and perform lab-scale experiments in the laboratories at TU Delft. Develop a mathematical model
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to distributed energy resources, enabling energy sharing, reducing grid congestion, and enhancing sustainability. Your research will investigate the governance models adopted for energy hub platforms
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? No Offer Description Will you develop our next generation environmental impact assessment to make PV circular and more sustainable? Are you an expert in LCA modelling, and you want to make the energy