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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
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of inadequate data-mining tools we have, aiming to derive information from the continuous stream of data about the present and the past. This will help citizens and other regular users, heritage curators and
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The postdoctoral researcher will join the Deep Transition Lab team, which is responsible for Work Package 3 (WP3) on identifying and evaluating actionable transition pathways. The team is led by Prof. Dr. Johan
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A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University , the various disciplines collaborate
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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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of data about the present and the past. This will help citizens and other regular users, heritage curators and journalists who are interested in tapping heritage collections, as well as civic organizations
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the Circular Transition NWA-funded project, which brings together researchers, universities, and societal partners. Your job The postdoctoral researcher will join the Deep Transition Lab team, which is
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enhancement, manipulate ocean carbonate chemistry via electrochemical methods or alkalinity addition (enhanced rock weathering or via alkaline fluids), respectively. Both methods are beginning early pilot
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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