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(SNSF). AntiResist is transforming antibiotic discovery and development through in vitro modelling of in-patient conditions in order to address antibiotic resistance, a problem of global importance
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, autonomy, and ability to work effectively in a team. - Strong motivation to contribute to the development of next-generation climate models. Website for additional job details https://emploi.cnrs.fr/Offres
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experience conducting survey research online, and have experience working with natural language processing and application programming interfaces, as well as prompt engineering, large language model training
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celebrated and shared. 2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow
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the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding
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historical societies, libraries, and community archives on shared stewardship models. Develop and implement collecting strategies that expand the representation of under-documented communities in the archives
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, and fellows, and to engage in scholarly work – from quality improvement to clinical research and innovation in models of aging care. Our division is deeply committed to interdisciplinary collaboration
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. • Integration of interactive maps, dynamic graphs, filters by zone, typology and time period. • Ensure good user experience, responsiveness and performance. • Implementation of calculations, indicators or models
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modelling of acoustic signal generation and transmission in multiphase flow systems. This is contingent on additional mobility funding, which the candidate is expected to apply for. Distributed Acoustic
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to understand GHG reactions and flows to be able to quantify them. The applicant will also need to implement and manage high-tower sites to model GHG flows in native forests and agricultural fields. The applicant