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some modelling experience will be a distinct advantage. Experience with other interfacial characterization techniques would also be beneficial especially in the absence of scattering experience
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I am an experimental particle physicist that works on the search for phenomena that are beyond our current theoretical understanding in terms of the Standard Model of Particle Physics. The research
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per
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models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
appointment Remuneration: The successful applicant will receive a Research Living Allowance, at current value of $52,352 AUD per annum 2025 full-time rate (tax-free stipend), indexed plus allowances as per RTP
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patients. The proposed project will address current gaps in the palliative and supportive care of heart failure patients by enabling a platform for patients to be engaged in the care pathways. This will be
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-term appointment Remuneration: The successful applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per the Monash Research Training Program (RTP
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comparing our experimental observations to predictions made using the Standard Model of Particle Physics. I am a member of the LHCb collaboration, one of the four large experiments at the Large Hadron
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(AI) technologies have advanced significantly, current software engineering methodologies remain insufficiently equipped to integrate responsible, reliable, and scalable AI-driven solutions into systems