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knowledge and experiences in using HecRas, SWAT and ArcGis Pro Experience in designing and using databases for hydrological data. This includes management of big data sets Experiences of using statistical
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to build molecular machines and new materials. The ability of their subcomponents to undergo large amplitude displacement, such as macrocycle shuttling in a rotaxane, make them ideal structures
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machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g
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, to mitigate user burden, monitoring should occur as minimally obtrusive and as engaging for a large audience as possible. Unobtrusive sensor technologies could complement self-reported data and may reduce the
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experience (PWLE) to co-develop an accessible "second skin" for the interface, ensuring usability and inclusivity. Assist in data analysis, including harmonisation of large-scale datasets and exploration
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technologies and the future of money Explainable artificial intelligence (AI) in financial services Integration of FinTech and big data in financial markets and sustainable finance. To discuss the entry
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you need to develop and grow as a researcher. Job requirements You thrive on conducting research geared to accelerating the future of port operations. Working in the field of data science, your
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methods and data-driven modelling techniques, the PhD candidate will investigate novel frameworks to accelerate SRS in HPC environments. The PhD candidate will work at the Ship Hydrodynamics section
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Proteome Is Shaped by E3 Ubiquitin Ligases Targeting C-Terminal Degrons. Cell, 173 (7): 1622-1635. For more information, visit https://www.timmslab.com The successful candidate will be a highly motivated
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9 Oct 2025 Job Information Organisation/Company CNRS Department Centre de Nanosciences et de Nanotechnologies Research Field Engineering Physics Technology Researcher Profile First Stage Researcher