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This exciting project combines CSIRO's and UON's unique characterisation and fabrication facilities to identify the key degradation mechanisms in Kardinia Energy's printed solar technology with
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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the Advanced Production Engineering (APE) research group that deals with the development, optimization and implementation of advanced production technologies and manufacture processes with emphasis on mechanical
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: From Mechanisms to Therapies”. In this CRC we aim to understand how plasticity i.e. non-genetic adaptations of the bone marrow niche induced by the disease or therapeutic agents contribute to drug
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: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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Job Description If you are looking for a research opportunity and a PhD position, here is a possibility at the Department of Civil and Mechanical Engineering, Technical University of Denmark
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this position, you are expected to have: A solid foundation in concrete technology, mechanics of materials, and structural engineering A strong interest in experimental research Prior exposure to or interest in
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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“Cellular Plasticity in Myeloid Malignancies: From Mechanisms to Therapies”. In this CRC we will focus on myeloid malignancies as a model to dissect the various molecular mechanisms that enable and regulate