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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
growth and success and continues to strategically position itself for sustained impact, as articulated in the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to
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in advanced in vitro, ex vivo (NAMs), and in vivo disease models, alongside multi-colour flow cytometry, advanced microscopy, and digital image analysis techniques. By taking on this project, you will
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and characterize oncogenic pathways altered by germline mutations in mitochondrial genes. Develop and analyze advanced tumor models (cellular, animal, and organoid-based) to investigate tumor evolution
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tasks. Contract period: August 15–December 31, 2026. Where to apply Website https://www.uniovi.es/conocenos/rrhh/convocatorias/investigacion Requirements Research FieldEconomicsEducation LevelMaster
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enhance course offerings to keep the curriculum aligned with current industry practices and emerging trends in the field. Model inclusive communication approaches that align with contemporary professional
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 2 months ago
linking animals, humans, food production, and the environment. Using traditional alpine cheese production as a model system, the successful candidate will investigate microbial transmission pathways
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at the M2P2 Laboratory (Marseille), in collaboration with the Fusion Modeling Research Group at CEA Cadarache. The successful candidate will contribute to the operation and development of SOLEDGE-HDG, a cutting
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high level communication, interpersonal skills, with an emphasis on cross-cultural interactions and ability to manage teams. Proven capability in modelling the Curtin Values Role Requirements As this is
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is funded through a grant or contract. The position renewal is contingent upon continued grant funding and satisfactory job performance. Postdoctoral Fellow will develop socio-computational models
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, fabrication data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency