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Field
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, in CPDM Laboratory (Physico-Chemical Behaviour and Material Durability) and EMGCU (Experimentation and Modelling in Civil and Urban Engineering), in MAST Division (Materials and Structures
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. Improve the SNN-based model head and compare its performance and efficiency with the standard (non-spiking) model. 3. Add simple explainability methods and check how the models behave under fairness and
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for participation in this program. Health insurance can be obtained through ORISE. The participant does not become an employee of ARS or ORISE. However, this position requires a pre-employment check and a full
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
School and other relevant researchers at the Australian National University. In this role you will work within a team to help develop models of green iron and steel markets or other models, help develop
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and brain impacting diseases. MNI?s cross-disciplinary research portfolio reflects the full range of basic and translational projects from molecular analyses to animal models to human applications. More
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collaboratively in a research environment, communicate clearly, and are motivated to contribute to both scientific discovery and the smooth operation of a research laboratory. Experience with mouse models, flow
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prompts Develop predictive models for sepsis, deterioration and ICU outcomes Create reproducible analysis frameworks using R/Python, GitHub, Quarto or R Markdown Produce real-time dashboards for ICU
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operational activities, ensuring your work delivers tangible environmental impact. Key responsibilities will include: Research: Lead and contribute to spatiotemporal modelling, mapping, and remote sensing
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Type: Hybrid Eligible Sponsorship Eligibility: Not eligible for visa sponsorship Salary: Salary commensurate with education and experience Restricted: Yes Criminal Background Check: Yes About the
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expertise and a broader interdisciplinary network. This position builds on our recent work demonstrating that large language models (LLMs) can meaningfully influence human beliefs — including shifting