124 network-coding-"Chung-Ang-University"-"Chung-Ang-University" positions at Monash University
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in securing external research funding. You will harness your energy sector networks to explore new research and funding opportunities.You will demonstrate strong expertise in managing complex projects
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literature review, professional networking and team collaboration. Responsibilities also include preparing reports, contributing to project reviews, and ensuring alignment between research activities and
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. This project concerns creating suitable models - and/or general hybrid models - as yet undeveloped. References: Comley, Joshua W. and D.L. Dowe (2003). General Bayesian Networks and Asymmetric Languages, Proc
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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
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Code for the care and use of animals for scientific purposes (8th edition 2013 (updated 2021) (the Code)). The AEC is comprised of members across various categories as stipulated in the Code and includes
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six globally networked campuses and international alliances across Asia and Europe. The applicant will be based at the Clayton campus in Melbourne and will have access to international mobility grants
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Digital literary studies Monash University is the largest university in Australia and regularly ranks in the top 100 universities worldwide. Monash has six globally networked campuses and international
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neural networks, we aim to improve the interpretability and robustness of reconstruction techniques. Another exciting direction involves self-supervised learning, which reduces reliance on fully labeled
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
movements across the cell envelope, to help inform mathematical models that integrate all of the envelope’s function. Uncovering RNA-RNA Networks in the Regulation of Bacterial Surface Proteins: Bacterial
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processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep learning frameworks such as PyTorch, TensorFlow, or Keras. Project funding Project based