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. The focus involves expertise in energy modeling, optimization and analyzing diverse energy mixes, primarily emphasizing hydrogen-based systems. As we move toward cleaner energy systems, the way we plan and
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Faculty of Science Researchers and students at VU Amsterdam’s Faculty of Science tackle fundamental and complex scientific problems to help pave the way for a sustainable and healthy future. From forest fires to big data, from obesity to malnutrition, and from molecules to the moon: we cover the...
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) models to extract clinically meaningful diagnoses, symptoms, signs, and disease durations linked to infections and post-infection syndromes including post-COVID. You will work with extensive real-world
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object
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You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC
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, interdisciplinary team of motivated data scientists, clinicians, and epidemiologists. Your main focus will be developing and validating Natural Language Processing (NLP) models to extract clinically meaningful
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for understanding changes in the water cycle (incl. the modeling of hydrological extremes, adaption strategies etc.) and their related uncertainties, and to quantify their consequences for different groups in society
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, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate cutting-edge multimodal deep learning models that integrate imaging and clinical data
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physics-based theory with data-driven models, you will contribute to the next generation of predictive tools for materials design and discovery. You will also collaborate closely with experimental and