73 structures "https:" "https:" "https:" "https:" "https:" "https:" "University of Southampton" positions at Monash University
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biological networks as a form of relational and structural learning. Given a network dataset, we wish to infer a model of the distribution of the elements of this data-set, possibly as a mixture of several
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they fulfil the criteria for Masters by Research & PhD admission at Monash University. Details of the relevant requirements are available at https://www.monash.edu/engineering/future-students/graduate-research
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requirements are available at https://www.monash.edu/engineering/future-students/graduate-research/how-to-apply Your application will be looked upon favourably if you: Graduated in the top 10% of your year level
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For over a century, X-rays have been used to visualise the internal structure of opaque objects, driving major breakthroughs in healthcare, industry, and scientific research. Conventional X-ray
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research environments. This role offers an exciting opportunity to contribute to cutting-edge research investigating the structure and molecular mechanisms of mitochondrial and photosynthetic complexes. You
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substantial research project, GPA 80%+ from a reputed university Refereed publications including journal or conference of high repute Desirable Background in Algorithms and Data Structures
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organic nanomaterials for future electronics, optoelectronics and spintronics" "Light-transformed materials" "Theoretical and numerical modelling of the electronic structure of functional low-dimensional
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surveys and targeted observations are used to search for active galactic nuclei, trace star formation and measure stellar kinematics within galaxies. How galaxies grow within structures dark matter can be
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extract events and mine knowledge from existing unstructured/structured data, and exploit the knowledge via neuro-symbolic reasoning for crime prevention (eg -sexual assaults), especially when there is no
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various skin condition/s. Relevant resources: DOI: https://doi.org/10.1007/978-3-031-43987-2_20 DOI: https://doi.org/10.1007/978-3-031-43907-0_54