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”, to provide substantial knowledge on chemical reactions that efficiently develop chemical reactions and materials for the future necessity, and to sustainably cultivate human resources engaged in the field
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leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models—expressivity
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of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from
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) that supports the project titled Proposal and theoretical development of chip-scale chirped-pulse amplification systems. The RF will work on the project for the theoretical development of the chip-scale chirped
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 7 days ago
publications and fostering national collaborations. They may assist in course delivery, prepare online learning materials, mark assessments, and supervise student projects. The role includes mentoring students
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the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis pipelines. Your primary focus (80% of your time) will be on leading
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, aiming to identify genetic and environmental risk factors for the development of mental illness. The post holder will be affiliated with a dynamic research group (http://www.jeanbaptistepingault.com/people
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Resilinet Battery Room Design for Next-Gen Electric Habour. The project is in collaboration with two local industry collaborators. Under this job title, you will develop a CFD modelling platform to evaluate
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development and regeneration. Our research combines in vivo genetic models, in vitro organoid systems, advanced imaging, and high-dimensional sequencing approaches to uncover fundamental principles by which
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the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis pipelines. Your primary focus (80% of your time) will be on leading