38 machine-learning-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions at Utrecht University in Netherlands
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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PhD position: Develop Hybrid Machine Learning for Global Soil Mapping Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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benchmark their added value against simpler machine-learning baselines; • train and evaluate ARCA on large-scale microbiome datasets, with attention to sparsity, batch effects, scalability
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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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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 collaboration with other researchers
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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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the opportunity to develop your teaching skills (University Teaching Qualification, https://www.uu.nl/en/education/centre-for-academic-teaching-and-learning/teacher-development/utq-and-stq ). You
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affinity for language data; solid programming skills (e.g., Python) and experience with machine learning or NLP, ideally including transformer-based models and word embeddings; excellent English
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, formal logic, knowledge graphs, data annotation, user interaction, cognitive modelling; Knowledge of, or interest in, agentic AI, NLP, HPC, LLMs, machine learning; Strong programming and software