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the carbon and water trade-offs of forests under different environmental conditions. This particular project aims at the following research objectives: O1: Understanding the impact of drought
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here as machine systems that can produce novel and creative results. Several important questions are raised: to what extent are generative AI systems genuinely creative? How do they differ from human and
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mathematical foundation of machine learning models. You will be responsible for developing scientific machine learning methodologies enabling new approaches for solving machine learning problems including
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, diffusion models) to augment microscopy datasets Investigating domain adaptation techniques across different imaging modalities Collaborating closely with experimental partners to validate methods and
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environmental and life sciences challenges. Courses will cover topics such as complexity science, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including
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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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). Candidates who are considered to be in conflict with the criteria in the latter act, will not be assessed. You must have an academically relevant background within computer science, applied mathematics
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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher
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to regenerative agriculture. The aim is to make regenerative agriculture the new normal by 2040. We are looking for a PhD candidate who can develop mathematical models that help understand which soil
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the difference between overseas and home level fees through other scholarships or self-funding. Duties and Responsibilities: The responsibilities include defining, with support from the supervisor, the research