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Reference no.: 4340 Among the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as
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. Assess ecological change by applying shotgun metagenomics and amplicon sequencing to track microbial community shifts under persistent wet skimming. Translate lessons learned into engineering design rules
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Learning Centre (SUSIM ). Further support from AIM will enable deeper insight to material performance and failure through a variety of imaging techniques including micro-CT and digital volume correlation
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, an extensive training programme in respect of industry-specific skills, and access to hotfire facilities at Westcott, Machrihanish, and elsewhere. You can learn more about the programme at r2t2.org.uk. Kick
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Human Behaviour in projects targeting social good. Research at N/LAB focuses on the development and application of innovative computational methods using Big Data, Behavioural Science and Machine Learning
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required, along with an eagerness to learn more detailed identification. Any specialist knowledge of ground-dwelling invertebrate taxa is a bonus. Support: The student will be based in the Ecology and
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through the following objectives: Develop a novel approach to investigate the fluid-solid coupling effect on the performance of the CMF; Using machine-learning (deep learning) methods to develop a
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. Simulations are suitable to characterise processes in healthy and diseased individuals including stroke patients. Machine learning methods might be considered to accelerate simulations. The project provides a
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. In this project, you’ll have the opportunity to be trained and become a proficient user of a range of advanced experimental techniques. For instance, you’ll learn how to use in-situ X-ray Computed
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, drawing conclusions, and making recommendations. Prioritising continuous self-learning and development - identifying those areas that you need to develop to achieve your future objectives. Proven ability