9 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "Inria" Postdoctoral positions at Utrecht University in Netherlands
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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and
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criteria: A PhD (obtained, or nearly completed) in Natural Language Processing or a closely related area. Solid knowledge of machine learning, especially deep learning. Experience in model development
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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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civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information
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for sustainable sediment management. This will be done for two case studies, namely Western Scheldt and Wadden Sea. To facilitate knowledge exchange and the learning process, interactive workshops
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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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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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-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