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., regularized regression, random forests, support vector machines) Experience with accessing and analyzing data from public use data sets and web-based survey systems Ability to manage multiple projects with
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programs in Community Health Education (CHE) and Health Policy and Management and hosts a Center for Community Health Equity Research (CCHER). Drs. Derose and López-Cevallos are members of the CHE program
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Project Overview This is an opportunity to conduct fully funded interdisciplinary research under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex
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Project Overview This is an opportunity to conduct fully funded interdisciplinary research under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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opportunity to contribute to cutting-edge research that has a real-world impact on the agricultural sector. The Analytics for the Australian Grain Industry (AAGI) Scholarship Program (AU node) is funded by
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Institute, Stanford University), our lab has access to one of the largest iPSC biobanks in the United States, which give us access to multiple cell lineages carrying mutation in multiple genes key
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of the largest iPSC biobanks in the United States which will give us access to multiple cell lineages carrying mutation in multiple key genes of the cardiovascular system. Education Requirement: Ph.D. in
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well as for the concrete planning and management of neighborhood and building solutions. As part of our mission to develop smart solutions to tackle the climate change, we have launched a PhD programme with TU Munich
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MRI animal scanner, and a Siemens INVEON PET/SPECT/CT animal scanner. The MRRC currently supports 32 projects funded by $31.5 million of NIH grants. Projects span multiple disciplines including