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We are seeking a Postdoctoral Research Associate to support our projects to understand membrane evolution. The aim of this project is to use molecular dynamic simulations to understand membrane
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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute to competitive grant proposals and research impact activities
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initiative and undertake outreach, including publication of research findings Prepare and design simulation studies using water, soil and crop modeling tools Compile and analyze experimental data, interpret
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the impact on the predictive quality of a given model that is expected by retraining/fine-tuning it using additional datasets, as well as on predicting the expected cost/latency of such retraining/fine-tuning
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continuum modelling and finite-element simulations of multicomponent, multiphase electrochemical systems. • Ability to manage own academic research and associated activities • Previous experience
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compartments. The successful candidate will combine cutting-edge in vitro and in vivo infection models, and both microscopy and flow cytometry-based readouts of infection to develop their independent research
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modelling and finite-element simulations of multicomponent, multiphase electrochemical systems. Ability to manage own academic research and associated activities Previous experience of contributing
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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About us The Green Laboratory investigates tissue morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and