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(e.g. compound muscle action potential). Experience in generating and/or working with both animal models and human models of Motor Neuron Disease Ability to work collaboratively with colleagues Ability
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Exciting, ongoing opportunity to lead innovation in power systems modelling and optimisation Join our collaborative team at CSIRO advancing net zero emissions research! About CSIRO As Australia's national
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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numerical modelling framework to simulate how light and heat interact with the target body tissue, while also incorporating neural signalling dynamics to explore how light-based stimulation affects
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. This position will focus on one key stream: understanding and improving the interaction between EVs and roadside barriers. This will involve: Modelling EV crash dynamics with conventional and SRB barriers
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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nanoparticles in drug delivery or diagnostics, familiarity with cellular targeting, and use of computational tools to model nanoparticle behaviour. Experience in a regulated research environment is also
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mechanisms and transformer models. Qualifications Bachelor’s degree with First Class Honours (or equivalent) and/or a research master’s degree in computer science, AI or Computer Vision; or an equivalent
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for ADHD emphasise core symptom clusters comprised of (1) inattention and (2) hyperactivity/impulsivity, various conceptual models of ADHD also highlight a prominent role for deficits in emotion regulation
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity