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have the potential to transform medicine by providing personalised models of anatomy and physiology that support diagnosis, prognosis and treatment planning. However, creating these models currently
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• Possess a PhD degree in relevant field, with demonstrated experience in the following such as: • Experimental ballistics tests on rock / cementitious materials • Modelling of high-rate
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logging into their existing Workday employee account. Position Summary: The Postdoctoral Fellow will conduct coupled physical-biogeochemical modeling to understand harmful algal blooms (HABs) in subtropical
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learning models and are familiar with foundation models. Applicants are invited to contact Dr Ren Ge Gary at telephone number 3400 8595 or via email at [email protected] for further information
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of Singapore (NUS). The selected candidate is expected to: • contribute to AI and software stack integration from architecture to vision task 1. Dataset, pre-trained model gathering, software sandbox and
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in the research project - “Towards efficient stamp forming of thermoplastic composites through data-driven thermo-mechanical modelling”. Qualifications Applicants should have a doctoral degree or an
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datasets and human disease studies. You will work across basic, computational, and clinical research, with access to advanced approaches including primary immune-cell models, single-cell omics, proteomics
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or more of the following areas: robotic mobility or manipulation, embodied intelligence, self-reconfigurable or compliant robotics, force or tactile sensing, intelligent control, multibody modeling
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Primary Purpose: Applicants are invited for the position of Post-Doctoral Fellow to undertake research to apply a new land surface hydrological model in the Canadian Rockies and evaluate its
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-doctoral candidate will be involved in both in vitro and in vivo research using animal models, primary, and immortalized cell culture models, molecular and cellular techniques, immunofluorescence, and