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Field
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monitoring will be based on real time data streaming from the machine numerical control. The project will cover all the aspects related to the implementation and automation of the tool life cycle management
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, precluding the use of any non-conductive coating. A coating designed to enhance stereo control and favour the formation (or detection) of one enantiomer over its mirror image will inevitably impair electron
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process. An integral part of the project will be the development of enhanced data-driven physics methods to achieve reliable prediction of material removal rate and material removal distribution
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) therapy on the biology of γδ T cells and how can we use this knowledge to help us predict the success of therapy and prevent the development of side-effects. Position 1 will focus on the cellular and
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measured data, apply necessary filtering and selection of data features to be stored. Couple the numerical model and the measured input data to establish a model that can predict the outcome in terms
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of scholarships: One Contact person: Mario Fruzangohar (mario.fruzangohar@adelaide.edu.au ) Project 3: Developing data-informed mathematical models for locust hopper band movement to improve control measures
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in the Southern Ocean Dwayne Tucker Doctor of Philosophy in Women+ and Children's Health Sciences (PhD) Clinical and molecular prediction of adverse outcomes in endometriosis. Jason Winikoff Doctor
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class of hydrogels that offer superior control and consistency, aligned to pharmaceutical standards. The potential benefit is to enhance the consistency and predictability of tissue cultures, with
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and innovative methods for predicting metocean data (primarily surface waves and ocean parameters such as currents, temperature, salinity, etc.) by combining advanced numerical simulations and deep
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is part of SDU’s strategic effort to advance PtX technologies through experimental validation and intelligent control. The research combines hands-on laboratory work with AI-based approaches