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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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understand the EUV-emitting plasma through radiation-hydrodynamics simulations Large amount of (image) data and a wide range of existing data analysis tools, allowing you to apply and develop your data
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inflammatory diseases including diabetes, cardiovascular, and Alzheimer’s disease. Successful candidates will lead projects using multi-omics datasets from large sample sizes of disease relevant tissues/cells
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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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Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance to develop
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and SEM) -Large data image treatment -Corrosion characterization -Local electrochemistry (e.g. SECM and SKPFM) -Additive manufacturing of metals Great emphasis is put on personal qualities such as the
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microscopy (e.g. multiphoton, Stimulated Raman Scattering) Image quantification of large data sets Academic research documentation and collaboration Motivated and engaged – Even if you do not meet every
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Apply now Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance
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3 Oct 2025 Job Information Organisation/Company CNRS Department Institut de Neurosciences de la Timone Research Field Neurosciences Psychological sciences » Cognitive science Psychological sciences
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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