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Field
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collaborate with leading scientists at the University of Surrey and international research partners (Prof. Yutaka Sumino, Tokyo, Japan), gaining exposure to both theoretical and experimental aspects
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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
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for cardiovascular applications. You will build on our group’s expertise on Physics-Informed Machine Learning (PIML), a powerful approach that combines data-driven AI with the rigour of physical and physiological
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for cardiovascular applications. You will build on our group’s expertise on Physics-Informed Machine Learning (PIML), a powerful approach that combines data-driven AI with the rigour of physical and physiological
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Fully funded positions available to start in 2025 or early 2026 Projects span plant genetics, climate-resilient breeding, AI and data science, soil health, sustainable agriculture, circular economy
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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, and materials science, with a strong publication record (h-index 36, i10-index 69). The second supervisor is Dr. Indrat Aria, a materials scientist with expertise in low-dimensional nanomaterials and
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operating filters. Quantify operational performance including headloss recovery, filtrate turbidity, biological stability and lifecycle carbon—using high-resolution sensor data and life-cycle assessment tools
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scientists on site and around 300 researchers in Vienna. The Brukner group currently consists of an international team of 9 young researchers (Master, PhD, and Postdoc levels). For more information, please
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scientists on site and around 300 researchers in Vienna. The Brukner group currently consists of an international team of 9 young researchers (Master, PhD, and Postdoc levels). For more information, please