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Field
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at conferences and workshops under the direction of the Principal Investigator or Grant-holder. To assist with the development of research objectives and proposals. To conduct individual and collaborative research
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Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on
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the programme’s objectives. If interested, please send your CV, an abstract of your proposal, and a letter of commitment to apply to our institution to m.dominguez@umh.es . Where to apply E-mail m.dominguez@umh.es
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to spatially identify areas of synergy and conflict between renewable energy and biodiversity objectives. Your tasks and responsibilities are: identifying and analysing essential biodiversity indicators relevant
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. Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision. Demonstrated track record of publications and conference presentations relative
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movements can be preceded by slow movements lasting from several days to several years. These movements can be detected and tracked by satellites, either using radar or optical sensors. Since 2016, data from
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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for the position of Postdoctoral Associates. FIU¿s Post-Doctoral Associate Program is designed to recruit outstanding Ph.D. applicants to assist the organization in meeting its objectives. The applicant¿s Ph.D. must
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objective, at-home gait monitoring. This project explores its implementation and user requirements from the public and clinicians. After clinical validation, it could help prioritise patients for surgery such