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of this role is to deliver on an industry innovation research project where you will be part of the research team to conduct applied AI research in visual generation models, agentic AI, focusing on applications
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the Gordon and Betty Moore Foundation as part of the Symbiosis Model Systems Solicitation (grant #9322). The main objective of the tasks within this scope of recruitment is to develop and/or validate different
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vegetation dynamics, carbon cycle processes, or climate–biosphere interactions. • Familiarity with benchmarking frameworks for ecosystem and climate models. Website for additional job details https
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Position in Quantum Optical Physics: Theoretical, Simulation, Modeling for Experimental Design Title: Postdoctoral Fellow, physics Appointment Status: Non-tenure track Department: Department of Physics
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a comprehensive railway network delay propagation model capable of addressing a
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roughness, AM roughness is characterized by randomness, porosity, and powder adhesion, producing flow behaviors that existing correlations and turbulence models fail to predict. Understanding and modeling
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of matter at the atomic scale. The postdoctoral researcher will lead the theory component of a research program, developing microscopic models of impurity-host coupling and identifying optical signatures
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modelling. Then, it will evaluate the impacts of climate change and anthropogenic pressures on salt intrusion for sustainable management of groundwater resources. Where to apply Website http://www.unime.it
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24 Jan 2026 Job Information Organisation/Company UNIVERSITA' DI ROMA LA SAPIENZA Research Field Computer science » Modelling tools Researcher Profile Recognised Researcher (R2) Leading Researcher
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BIOS-06/A - A synaptic mechanogenetic technology to repair brain connectivity - CUP: J93C22002400006
of neural networks. The technology will be validated in mouse models of neurological disorders. Where to apply Website https://pica.cineca.it/units Requirements Additional Information Eligibility criteria