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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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The Faculty of Spatial Sciences together with the Faculty of Science and Engineering offer a 4-year M20 (Ubbo Emmius) Program funded PhD position for a project titled “Grassroots retrofitting
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quantitative skills and strong analytical capabilities; proven experience with experimental image and data analysis; proven experience with mathematical/computational modeling of experimental observations
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using established in vitro digestion models, gut imaging techniques, and in vivo assessment of metabolic and appetite effects in healthy volunteers. The acquired knowledge can be used to inform
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organizations and typically informs important decisions in healthcare, governments and finance. Yet, while AI has demonstrated a high impact on applications on text and images, proportional progress on structured
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(spoken and written). Preferred qualifications Prior experience with 3D cell culture, organoids, CRISPR-Cas9, or imaging-based phenotyping. Familiarity with transcriptomics or basic computational biology (R
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, healthcare and finance. Yet, while AI has demonstrated a high impact on applications on text and images, proportional progress on tabular data is lacking. With the TRL Lab (Table Representation Learning Lab
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journals in fields as diverse as the history of ecology, the study of science and technology, and intellectual history. His 2015 monograph Stations in the Field: A History of Place-Based Animal Research