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Field
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execute complex research studies, procedures and protocols. Participate in discovery projects. Coordinate research study activities; lead and manage projects. Oversee organization, synthesis and analysis
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to develop a biogeodynamic model, by coupling a trait-based eco-evolutionary model (e.g. AdaScape) into a reduced-complexity river delta model (e.g. DeltaRCM). We will use the model to synthesise information
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 17 days ago
the Chair "Artificial Intelligence and Mechanics for scale bridging in complex materials" (AIM), funded by MIAI Cluster AI and the ANR through the France 2030 program. The research will be conducted at Inria
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Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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/ . Trains under the supervision of a faculty mentor including (but not limited to): Performs literature review and synthesize complex biological information into computational frameworks. Develops
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of four partners in SpinENGINE project. The SpinENGINE project aims to create a new approach to computing based on emergent properties, i.e., complex, non-linear behaviour in tunable ensembles
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40h/week Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Main
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generations. We develop and share knowledge to address societal needs, contributing to solutions for complex social challenges and driving positive change. We educate 19,500 students from 110 nationalities
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prison sites, recruitment and data collection, and complex data analysis. You should have a PhD (or near to completion) and an Undergraduate degree in psychology or a relevant discipline. You will have
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in network science. NetSI faculty and researchers are working to advance the understanding of complex systems through the lens of networks, and to apply this knowledge to solve real-world problems in a