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Field
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the integration, advancement and translation of PRO science across trial programs. You will resolve complex methodological and operational challenges, provide expert advice to multidisciplinary trial teams and
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Florida International University is a Top 50, preeminent public research university with 55,000 students from all 50 states and more than 140 countries, as well as an alumni network of more than
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, and engagement with stakeholders; contribute to the preparation of research funding proposals. Engage in scholarly development and network-building, supporting your own academic career progression while
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, supported by Innovate UK. The core task will be developing, expanding, and automating sophisticated simulation models of complex dairy farm systems using Python. This role focuses on translating real-time
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polarisation shaping, and finally using deep learning to solve the complexity challenge associated with coherent beam combination. The role Within HiPPo, your specific task will be to develop a ‘digital fibre
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 14 hours ago
Carolina for net cost by the N.Y. Times and No. 1 in North Carolina for social mobility by The Wall Street Journal — helping first-generation and lower-income students find paths to prosperity. Designated
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use care across BC. To this end, the BCCSU develops evidence-based training curricula, program standards, and practice guidelines while networking regional health authorities, researchers, educators
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support tool that helps health care professionals and clients navigate these so-called ‘meta-moral challenges’ in transgender care. The position is part of the international “Gender-InSIGHT” network (see
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communication skills, with the ability to translate complex economic evidence for academic, clinical, policy, and public audiences. Experience contributing to NIHR or other competitively funded research
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by building new AI tools that can work alongside human analysts. Intelligence analysts are routinely required to make high-consequence, defensible assessments from vast, complex and uncertain datasets