26 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Fellowship positions at Monash University
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collaborative research, further developing expertise within the field. Key Responsibilities Conduct research on complex quantum processes, particularly using the process tensor formalism, and leverage practical
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Fellow. This role offers the chance to be at the forefront of innovation in chemical biology, with a focus on developing cutting-edge tools for molecular sensing and imaging. Under the guidance of Dr
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Econometrics and Business Statistics at Monash University is globally recognised for its excellence in research and teaching. Our department is a leader in developing cutting-edge methodologies in econometrics
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with real-world application to pressing health challenges. In this role, you will: Develop new statistical methodology to support adaptive variants of cluster randomised trials Write R or Stata code
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to the development of advanced control and optimisation frameworks to enhance the resilience, safety, and efficiency of electricity grids integrated with fast-charging Electric Vehicles (EVs). You will focus
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on the development of a national-scale land use–transport interaction (LUTI) model. This model will be central to the project, generating critical indicators such as job accessibility and population
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of Infrastructure, Transport, Regional Development, Communications and the Arts. This role will support the development of a scalable Register on motorcycle and motorised small wheel vehicle fatalities (2016–2023 and
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within the School. Your key contributions Conduct independent and collaborative research with real policy relevance Prepare high-quality publications, research proposals and data-driven insights Provide
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the people who discover them The Opportunity This Research Fellow position sits within a Wellcome-funded initiative focused on evaluating animal models in mental health science and developing a publicly
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Research Fellow, you will engage in independent and collaborative research, focused on understanding the adoption and impact of agricultural technologies developed by the CGIAR system. This project offers