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research in this or related fields proven expertise in metabolic studies using mouse models, including manipulating protein expression via AAV methods and generating high‑quality tissue proteomics datasets
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of trade, policy, and investment databases. Analyse trends, identify drivers, and model scenarios for green energy transitions in Asian economies (e.g., green energy/green tech localization and trade
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models Applying imaging modalities to support drug distribution and efficacy studies Collaborating with national partners across a multidisciplinary research network This position offers a unique
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models for muscle and tendon repair, and the creation of integrated bone–tendon–muscle regeneration systems and advanced regenerative microenvironments. The role also offers opportunities for student
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, signal processing and inverse modelling. The role is based at the Image X Institute and will be led by Dr Chandrima Sengupta. You will benefit from a strong mentoring environment; lead and be part of high
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the following: digital twins, cyberphysical systems, human-centred AI causal modelling, uncertainty quantification, explainable AI, or trustworthy AI agentic AI, multiagent systems, sequential decision
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 23 days ago
research methods. The ideal candidate will have expertise in experimental and survey research design, advanced statistical analysis (e.g., multi-level modelling, mediation/moderation analysis, longitudinal
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; conduct literature searches using relevant databases, apply IEQ modelling and simulation approaches, and analyse data drawing upon statistical methods; coordinate, incorporate and communicate research
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ethical and biosecurity requirements; curate samples to establish a national avian bone-marrow biobank; and develop integrated disease-modelling pipelines to support risk-based avian influenza surveillance
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knockdown and knockout approaches, and conducting experiments in cell culture and mouse models. You will work under limited supervision as part of a collaborative research team, contribute to high quality