23 neuroimaging-machine-learning-engineer Postdoctoral 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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17 Jul 2026 Job Information Organisation/Company Utrecht University Research Field Biological sciences » Biological engineering Biological sciences » Biology Researcher Profile Recognised Researcher
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biology approach to understand the role of modifications on histones and DNA. Towards this, we combine various experimental and computational strategies, including genome and epigenome engineering, genome
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biological data is an advantage, but is not required if you bring strong machine-learning expertise and are motivated to learn the biology. Our offer a central role in developing ARCA, the core AI technology
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microbiome and genome data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated
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; experience with foundational AI model development/fine-tuning and machine learning and/or deep learning; strong programming skills (e.g., Python, JavaScript, PostgreSQL) with clear expertise in front-end and
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for reasoning, on efficient and explainable machine learning for extracting and structuring information from large datasets, and on combining the two in neuro-symbolic AI.
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and authorities interested in improving civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex
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completed) in Natural Language Processing or a closely related area. Solid knowledge of machine learning, especially deep learning. Experience in model development and/or fine-tuning. A practical mindset
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for accountability, transparency, inclusiveness, and misinformation. The key technology is multimodal deep learning, and its extensions for these additional targets. In particular, we have a large collection of