64 machine-learning-"https:"-"https:"-"https:" "Computer Vision Center" positions at Utrecht University
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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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following criteria: a PhD, or a PhD close to completion, in machine learning, artificial intelligence, computational biology, bioinformatics, computer science or a closely related field; strong hands
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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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, and academic journals. Where to apply Website https://www.academictransfer.com/en/jobs/364207/postdoc-machine-learning-for-wi… Requirements Specific Requirements You have a strong background in data
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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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Economics department. The position of the Chair in Banking and Finance contributes to the (inter)national reputation and profile of U.S.E. in line with its multidisciplinary vision on research, teaching