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solutions. Through interdisciplinary programmes, living labs and large-scale testbeds, ERI@N drives impactful translational R&D with strong industry deployment. More details: https://www.ntu.edu.sg/erian We
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in investigating how smart AI-models are? Do you want to conduct research
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of errors between model predictions and post-operative reality This work will be carried out by the Biomécamot team (https://www.timc.fr/BiomecaMot ) at the TIMC laboratory, which is part of the CNRS's
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on hormonal time series data collected at unprecedented time resolution in healthy humans and in patients, including studies in real life settings with a state-of-the-art wearable device (https
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ . The project is funded in collaboration with Ward & Burke, a leading engineering firm specialising in the design, manufacture, supply
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traditional predictive attempts and limits the availability of training data for high-resolution atmospheric and hydrological models. This limitation is compounded by the fact that many atmospheric reanalysis
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model and crop plant systems Experience working with engineering plant viruses Experience with viruses infecting soybeans and corn Supervising or working directly with undergraduate students Department
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to future disturbance. A plot-level statistical model will be developed to understand drivers and identify where near-term tree mortality will occur. A second coarser-resolution model will be developed over
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models for efficient coupling; and (3) analysing simulation and surrogate outputs to validate and refine the framework. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml
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Computational modelling of two-dimensional graphene-based materials School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Natalia Martsinovich Application Deadline