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to develop safe Bipolar Solid-state Na-ion Batteries. Project will make use of existing IPs and know-hows to develop cathode and solid electrolytes. The team has substantial experience in developing solid
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and to develop accurate cancer risk prediction models. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data
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methodology development as well as applied cancer bioinformatics in a variety of disease sites, including the incorporation of statistical, machine learning & QML ideas. Multiple collaborative opportunities
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The postholder will be an active member of the research team assisting in the development and pre-clinical and industrial translation of novel drug delivery systems. You will assist in the planning
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leading role in the management and development of the project and to work independently and in collaboration to bring the project to a successful completion including establishing and maintaining external
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Partnership project will focus on developing technically and commercially viable gas diffusion layers for high-volume applications using recycled carbon fibre, creating a circular UK supply chain for carbon
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, glioblastomas, colon cancer, and lung cancer. Advancing precision oncology through machine-learning models: We integrate multimodal patient data, including multiomic data and health record information, to develop
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Australian National University | Canberra, Australian Capital Territory | Australia | about 7 hours ago
– Postdoctoral Fellow The Postdoctoral Fellow will conduct independent research, contributing to high-impact publications and fostering national collaborations. They may assist in course delivery, prepare online
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Simulation group to apply classical Molecular Dynamics and Machine Learning approaches for development of a new class of hybrid polyphenol-lipid nanoparticles with tuneable internal structure and exploration
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for a motivated and experienced Programme Manager to join the Centre for Holistic Initiatives (CHILD) for Learning and Development, Yong Loo Lin School of Medicine, National University of Singapore. CHILD