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will be part of a collaborative, interdisciplinary team of motivated data scientists, clinicians, and epidemiologists. Your main focus will be developing and validating Natural Language Processing (NLP
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, interdisciplinary team of motivated data scientists, clinicians, and epidemiologists. Your main focus will be developing and validating Natural Language Processing (NLP) models to extract clinically meaningful
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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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mitigation purposes struggles to address the dual threat of increasingly frequent droughts and floods, highlighting the urgent need for adaptive Nature-Based Solutions (NBSs). While programmes like Room
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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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postdoctoral researcher, you will focus on integrating biodiversity data and spatial optimisation methods into renewable energy planning. This involves exploring how advanced data on nature and biodiversity
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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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: responsive to objects and to interlocutors, aligning speech and visual signals for richer, more natural interaction. In this project, you will carry out research as described in the project proposal, which
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purposes struggles to address the dual threat of increasingly frequent droughts and floods, highlighting the urgent need for adaptive Nature-Based Solutions (NBSs). While programmes like Room for the River
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understood. As a result, life cycle assessment (LCA) methodologies fall short in differentiating the biodiversity footprints of agricultural products originating from conventional and more nature-inclusive