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Field
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disruptions data and network analysis, the candidate should have a strong background in network modelling and coding. The selected candidate will also have excellent leadership ability/potential and strong
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences
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networks”, meeting and exchanging biomolecules in a cellular society. The reasons for this behaviour remain poorly understood, and outside of some model species, this behaviour itself is poorly characterised
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practices in code development and maintenance (e.g. Github/Gitlab, GitHub Actions, etc). Experience with machine learning or network-based approaches is desirable. Familiarity with FAIR data principles and
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this international network, tasked with establishing and building capability to support the Australian and international SKA science communities, thereby ushering in the next era of astronomical discovery and advanced
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identifying, documenting, mapping, and sharing best practices, innovations, and successful transition strategies, they contribute to generating actionable knowledge and developing a networking platform for
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Organization U.S. Department of the Interior (DOI) Reference Code DOI-USGS-2025-17 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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Europe Marie Skłodowska-Curie Action - Doctoral Network FluxBEATS that integrates geological observations, cutting-edge geochemical and biogeochemical analyses, data and modeling, from modern volcanic
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the possibility of a 4th year with career-promoting work (e.g. teaching duties at the Department) The position is funded by EU and related to the Horizon Europe Marie Skłodowska-Curie Action - Doctoral Network
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with a wider interdisciplinary research team Participate in wider networks, including the Adult Social Care Cluster and DEMCOMM programme events Main Duties The responsibilities may include some but not