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disorders, ideally idiopathic scoliosis experience with data analysis using software such as Stata or R experience with processing and managing large data sets excellent academic writing skills Personal
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: Equality, Diversity and Inclusion (EDI) – We encourage applications promoting and embedding EDI values throughout the whole research process. We also encourage original research addressing key EDI-related
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how oxygen, nutrients, pollutants, or fine sediments migrate between surface water and the bed, or to quantify how restoration actions affect life-sustaining processes such as fish spawning and methane
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
. The group’s work in this area has led to best paper awards at PacificVis and Graph Drawing, with recent publications in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum
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synchrotron X-ray characterisation of solution-processed semiconductor films Supervisor: Prof. Chris McNeill, Department of Materials Science and Engineering (Email: christopher.mcneill@monash.edu ) For further
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manufacturing. As steel is highly recyclable its usage helps in creating a more sustainable world. For simulations of industrial processes concerning such complex materials one must typically rely on continuum
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overseas candidates, starting in 2026. Successful applicants will investigate the relationships between processing, microstructure, and properties of metals through combined macro- and micro-mechanical
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OF RESEARCHHealthEnergyEnvironmentInformation, communication and quantum technologiesCandidates can review the research lines here: http://icn2.cat/en/researchDuring the application process, candidates will be asked to select the ICN2 research
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to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive