900 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FEUP" positions at Nature Careers
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teaching faculty in Natural Language Processing (NLP) & AI to deliver and manage the course, "The Language of AI". This course introduces students to Natural Language Processing (NLP) and Information
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Research. This position is responsible for overseeing Hematology's Clinical Trial Management Data Team which includes providing guidance on data collection, management, and analyses for clinical research
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engineering, analytical chemistry, and computational methods for analyzing sequence information and molecular structures is required to perform research tasks A background in food science or food technology is
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responsibilities for independently overseeing the daily conduct of assigned studies including designing and evaluating improvements of data collection procedures and interventions to improve study accrual and data
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the intellectual energy and independent thinking necessary to lead a programme of cutting-edge research and to shape the overall aims and success of the group. Drive rigorous experimental design, execution, and data
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aims and success of the group. Drive rigorous experimental design, execution, and data interpretation, ensuring robust and reproducible scientific outcomes. Manage research program through stage gated
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‑oriented working style with good communication/information skills and a high degree of sensitivity/empathy as well as integrative behaviour and commitment to gender equality A high level of initiative
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(available for download on the following site ). Please complement with your CV, publication list, and recommendation letters. If confidential data exists that would strengthen the proposal, please indicate
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Integration of lifestyle, metabolic, and genomic data to refine early detection and prevention strategies Disparities research and risk modeling to optimize equitable deployment of new cancer screening
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, spatial relationships, and contextual information. The framework would focus on real-time inference and investigate temporal search strategies using vision–language large models to identify anomalies in