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of Agriculture's chief scientific in-house research agency with a mission to find solutions to agricultural problems that affect Americans every day from field to table. ARS will deliver cutting-edge, scientific
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Service to complete the study. Description of Duties We are seeking a full-time Research Fellow (RF) to work on a study to support implementation of the ‘Healthy Dads Healthy Kids’ programme in Scottish
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partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . The Environmental Sustainability Theme brings together expertise to address
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the development of excellent doctoral and postdoctoral training programmes and collaborative research projects worldwide. By doing so, they achieve a structuring impact on higher education institutions, research
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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opportunity for recipients to engage at the nexus of highly rigorous academic research and real impact in sustainability. Fellows work with both a Cornell faculty mentor and a partnering external organization
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fellows will undertake a programme of tailored research and training activities such as developing new interdisciplinary skills, developing impact from your previous research, undertake short-term research
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programme at the intersection of optics, electrical engineering, artificial intelligence, and experimental biology, with the aim of building closed-loop, autonomous experimental platforms that accelerate
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Warwick Business School, The University of Warwick; | Warwick, England | United Kingdom | 22 days ago
the Gilmore Centre is to conduct world-class, cutting-edge research at the intersection of finance and technology, and to create impact from research. The Gillmore Centre for Financial Technology organizes
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, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models