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the value of the green transition. The project will involve a multi-stakeholder innovation process, utilizing a framework of multiple-loop learning to encourage farmers to reflect on their relationship with
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the various programs and in the platform’s management team, as well as in the practical laboratory work within the unit. You will also actively participate, interact, and communicate knowledge regarding
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce
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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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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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et al., 2020). It provides a single-session, universal intervention delivered to between 10 and 200 individuals at a time, and it contrasts with other online programs that are formed from multiple
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are predominately held in English. Full-time / part-time part-time (study alongside work) full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Additional information on beginning
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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