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Field
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Technology is excitedto announce a vacant position of Postdoctoral Research Fellow in the area of sea ice model parameter optimization with Earth Observation data at UiT The Arctic University of Norway
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an advanced AI-augmented digital platform (AiCT-Med) powered by cutting edge machine learning models trained on multiple large, aged care datasets from providers across Australia. The platform is designed
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communication skills. Desired Qualifications: Experience with fitting parametric models to neural population data. Experience with high-performance computing. Notes: This is a full-time, 2 years, postdoctoral
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. As an essential part of the project team, you will work on Designing and testing novel metamaterial unit cells tailored for transformer enclosures. Numerical modelling using advanced FEM/BEM techniques
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and in vitro models, with a particular focus on the tumor microenvironment and therapeutic responses. Supported by the Mayo Clinic Florida Neurosurgery BRIDGE Biobank, the postdoctoral fellow will have
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expertise in agricultural science or farm economics to conduct whole farm systems and economic modelling. This position offers you the opportunity to work with a multidisciplinary team across diverse
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Stimulation, Computational Modelling, Biomedical Engineering and Biophysics, Neurosciences Admission requirements: Bachelor’s degree in Biomedical Engineering and Biophysics. Must have attended courses
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of compound stability, release kinetics, and bioavailability using simulated feed manufacturing and digestive models. Undertake in vivo validation of delivery technologies in model organisms (e.g. Artemia) and
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H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with
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modelling and machine learning to join and lead a dynamic international team of early-career researchers. This exciting role is part of a cutting-edge project investigating the structural integrity