9 experimental-fluid-mechanics Fellowship research jobs at Monash University in Australia
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the WATOC Dirac Medal. As the successful candidate, you will contribute to the design and implementation of AI models that integrate quantum mechanical theory with deep learning, enabling rapid and
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, focusing on the compositional and functional biointerfaces of emulsions in physiological fluids, and their interactions with biological surfaces, especially the gastrointestinal tract. Key Responsibilities
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. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film
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understanding the molecular mechanisms behind heart defects and cardiomyopathies using cutting-edge technologies such as human induced-pluripotent stem cells (hiPSCs), CRISPR gene editing, 3D organoids, and
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₂ uptake efficiency, and the engineering performance of novel concrete systems. You will: Investigate zeolite synthesis and CO₂ adsorption via lab-on-chip platform Evaluate the mechanical and durability
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Professor Michael Fuhrer FAA and Professor Stefan Maier (Head of School) using ultrafast laser spectroscopy in the visible, mid-infrared, and terahertz, to understand the mechanisms of light absorption and
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prototype integration to translate sensor outputs into clinically relevant protein biomarker data. The role will involve laboratory-based experimentation, data analysis, and active contribution to scholarly
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modelling to deepen understanding of the mechanisms that drive new therapeutic approaches. The position plays a central role in delivering high quality research outcomes through the design and conduct
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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using