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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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to circular economies. As part of this mission, we are offering PhD positions in the Simulation and Data Lab Digital Bioeconomy (SDL‑DBE). The SDL‑DBE develops and applies multiscale models, AI-enhanced
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
Computational Medicine Program at the University of North Carolina – Chapel Hill (http://miaolab.org ) invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular
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: Develop data-driven numerical models (opinion models, norm dynamics, multi-agent systems). Network Science: Study social and temporal interaction networks using network physics tools. Simulation: Conduct
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models to predict errors in auditing. This will cover all stages of the project life cycle, including data acquisition, pre-processing, model development, model testing, and reporting of results
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that combines novel skill sets within biomechanics, bionanomaterials, robotics, and cancer biology. Snail locomotion and actuation strategies will be investigated via computer simulations and studies of live
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the mechanical behavior of these materials at the nanoscale. Subsequently, a molecular dynamics model will be developed to simulate the matrix–nanotube interaction, analyzing the effects of adhesion, orientation
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? No Offer Description Study Engineer – ECOTRON his contract is part of a project on the understanding and modelling of ageing in natural populations in the presence of interactions, funded by
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(BE), University Hospital Jena (DE), INSERM (FR), University Utrecht (NL), SciCross (SE), RD –Néphrologie SAS (FR), University of Bern (CH). For more information: https://www.cordis.europa.eu/project/id
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scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences