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- Delft University of Technology (TU Delft); yesterday published
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) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd behaviour analysis), as well as researching existing sources of knowledge in the literature and
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to your expertise. What do we require? A PhD degree (or equivalent qualification) in AI (e.g., machine learning, natural language processing or computer vision); A strong scientific track record, documented
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are seeking a postdoctoral researcher to join the research group led by Ivan Titov (http://ivan-titov.org/ ), part of the natural language processing group of the Institute for Logic, Language and Computation
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Application Deadline 3 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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the computational component of the project. You will collaborate closely with the principal investigator, two PhD candidates (working in psycholinguistics and cognitive science) and one postdoctoral researcher
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PhD in biology, cognitive science, or an adjacent field (e.g. biomedicine, computer sciences); A strong academic track record, including high-quality publications (quantity is less important
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will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models for phenotype prediction, helping to accelerate the cell
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. There is extensive collaboration between these themes. For more information about the Mathematical Institute, see https://www.universiteitleiden.nl/en/science/mathematics . What you bring PhD in mathematics
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rich theoretical and computational environment supported by the Multimodal Language Department. Requirements Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP
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://www.academictransfer.com/en/jobs/355391/postdoctoral-researcher-machine… Requirements Specific Requirements You hold a PhD degree in Computer Science, Data Science, Biomedical Engineering, or a closely related field, with a