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Field
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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dynamic network of researchers in purpose science across institutions who desire meaningful opportunities to engage with other scholars, youth-serving organizations, and youth themselves. Ke y
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modelling software. Practical experience in advanced manufacturing techniques for novel materials. Opportunities to present research at international conferences and build a professional network across
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well as collaborative research in the field of medical imaging. Specific research foci include the development of ultrahigh field MRI methods in terms of both acquisition parameters and processing, including software
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State University of New York University at Albany | Albany, New York | United States | about 10 hours ago
technical complexity; networks and cross-boundary information and knowledge sharing; policy problems associated with governance, privacy, and information access; burgeoning information types, uses, and
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of your research will lie on the study of topological order using tensor network methods. You continuously stay informed about the state of the art in your field. You present your research plan
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The University of Liverpool is seeking to appoint 1-2 motivated and enthusiastic postdocs to conduct research on making Generative AI (GenAI) more robust. You will enjoy a vibrant environment at
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to pursue a rewarding and fulfilling career in a supportive environment. You will be contractually enrolled into the Teachers’ Pension Scheme (TPS) – one of the largest and most generous defined benefit
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contractually enrolled into the Teachers’ Pension Scheme (TPS) – one of the largest and most generous defined benefit pension schemes in the country. Find out more about the TPS. If you are, or have been, a
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challenging. Characterising the mechanical behaviours of thin foils at elevated temperatures is crucial in defining the load capability of aerostructures during the forming and joining processes. This PhD aims