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planning and decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch
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Development of reproducible software tools and computational workflows for biomedical research Develop novel AI, machine learning, and deep learning methods to address complex biomedical questions in diabetes
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with deep generative models (VAEs, GANs, diffusion models) or probabilistic modelling is a strong plus. You have good programming skills in Python and experience with a deep learning framework such as
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deep generative models (VAEs, GANs, diffusion models) or probabilistic modelling is a strong plus. You have good programming skills in Python and experience with a deep learning framework such as PyTorch
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imaging (crucial) Experience with image segmentation, deep learning, or computer vision. Experience with 3D image processing or inverse problems. Experience with experimental research and data acquisition
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, Computer Science, Electrical Engineering, Physics, (Applied) Mathematics, or a closely related field; a strong foundation in machine learning / deep learning and solid programming skills (e.g. Python, PyTorch
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the Department of Rehabilitation Medicine, Amsterdam UMC. Thoroughout the project, you will collaborate with clinicians, clinical researchers, and a postdoctoral researcher based at the Department