16 collaborative-learning "Computer Vision Center" Postdoctoral positions at Utrecht University
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computer science or artificial intelligence; demonstrable machine learning skills; curiosity about societal issues and how AI can be employed for the benefit of the public; strong teamwork skills, as
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foundational AI and machine learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that
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postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This
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-to-community learning and (3) establishing voluntary pledges to advance the vision, based on regenerative practices for nature restoration and conservation, and NB innovation and economy. NURISH will
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collaborative environment in which you have the freedom to work independently, while also contributing to a shared goal. You take a mastery-oriented approach to your own learning and development and are eager
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intelligence, computational biology, bioinformatics, computer science or a closely related field; • strong hands-on experience with deep learning and modern representation learning, preferably including
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skills in Python, R, or similar languages. Self-starting and collaborative attitude. Preferred qualifications and experience AI/ML applications: applying machine learning or AI to integrate, discover
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under uncertainty and contribute approaches that can be transferred to deltas worldwide. Your qualities We are looking for an enthusiastic and collaborative postdoctoral researcher with a strong
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postdoctoral researcher in the NWO KIC project STURDI-Water (Storage, Upgrade, Reuse and Distribution of Water in regional collaborative networks), you lead research aimed at identifying the key
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burial of microplastics and POC in currents down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on