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components. The resulting data will be used to train a machine learning (ML) model, enabling automated and efficient beamline alignment. This technology has the potential to significantly enhance
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. Understanding of or curiosity about machine learning, AI, or cloud computing tools used in agricultural analytics. Interest or experience in working with industry, government, or multidisciplinary research teams
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experience with programming (e.g., Python), machine learning, or educational data is beneficial, it is not a strict requirement. The project provides ample opportunities to develop these skills over time. What
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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will also bring: A PhD or EdD (or equivalent) in applied mathematics, data science, machine learning or a related discipline, with demonstrated excellence in tertiary teaching across these areas
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for research leadership. Strong experience in at least two of the following areas: deep learning and/or computer vision continual learning vision language models Experience in developing comprehensive benchmarks
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group of PhD researchers who will tackle the most pressing questions in Machine Learning while ensuring AI serves humanity responsibly. You'll work within one of our specialised research themes, each
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to simulate key optical features and explore optimal alignment of beamline components. The resulting data will be used to train a machine learning (ML) model, enabling automated and efficient beamline alignment
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comprehensive metadata schema is followed, consistent with relevant industry standards (e.g., ISO 19115). 2. Geospatial Analysis and Machine Learning: Develop and implement analytical tools and routines
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. Details of the role This Data Scientist role offers a unique opportunity to work at the intersection of artificial intelligence, machine learning, and healthcare. The role will contribute to designing and