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Field
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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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Project title: Privacy/Security Risks in Machine/Federated Learning systems Supervisory Team: Dr Han Wu Project description: In the wake of growing data privacy concerns and the enactment
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
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by detecting and predicting threats such as pests, diseases, and environmental stress in line with the UK Plant Biosecurity Strategy. The project harnesses computer vision, deep learning, and large
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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to analyze and interpret this data and use it to describe dysbiotic microbiomes. Visiting international conferences and training courses as well as exchanges with international collaborators are part of
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projects in the Centre for AI and Robotics Research. Funded PhD projects Adaptive Systems Research Group Artificial Intelligence in Games Continual and Open-ended Reinforcement Learning Information and the
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bio-optical (fluorescence and backscatter) data from a 2025 research expedition to the Bellingshausen Sea, West Antarctica, coupled with data from laboratory analyses of algal pigments, particulate and
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mental health omics data more harmonized, accessible, understandable, and useful to researchers, clinicians, industry, and people with lived experience. You will work closely with a multidisciplinary team
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an individual Resistant, Tolerant, or Susceptible (R/T/S) to a virus? That is the key question we aim to answer in this PhD study. We have gathered data on viral outbreaks over ~20 years and sequenced hundreds