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Union’s flagship funding programme for doctoral education and postdoctoral training of researchers, and about MSCA Doctoral Networks . Website for additional job details https://umu.varbi.com/en/what:job
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the authority of the CSUCO to allocate programmatic funding, support campus program development and capacity building, and cultivate a sustained network of practice across the CSU system to advance Black student
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interdisciplinary opportunities. https://newcollege.asu.edu/smns . About the New College of Interdisciplinary Arts and Sciences At ASU’s New College of Interdisciplinary Arts and Sciences, we take pride in breaking
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academic systems, administrative systems, and research computing. This position requires a team-oriented IT professional, experienced in designing, implementing, and maintaining complex applications, systems
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demonstrated experience leading and maturing multiple ITSM practices in a complex organization. They will be a collaborative leader with strong facilitation and communication skills, able to work across
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performance monitoring and program governance for UC Davis Health’s Affiliate Network. The role provides expert-level consultation on complex, multi-departmental and multi-institutional affiliate arrangements
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
to UNC School of Medicine faculty, staff, and students for a variety of hardware, software, operating systems and networks. Principal duties require working knowledge, technical aptitude and analytical
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technologies for energy conversion, storage, and distribution. A key component of ETI is the Energy Transition Network (ETN), which unites industry, academic partners, and global leaders to tackle critical
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training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs FIXED-TERM: The position is limited to 3,5 years FAIR REMUNERATION: Depending on your
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for fitting stochastic epidemic models to infectious disease outbreak data. The post will contribute to cutting-edge methodological research on Bayesian inference for complex stochastic transmission models, as