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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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of outcomes by November 2024. Scholarship Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility criteria Outstanding Computer Science or Engineering student Knowledge of data
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collaboration among the Universities of Oldenburg, Hannover, and Bremen, and by being part of the National Wind Energy Research Alliance. In Oldenburg, 50 researchers from physics, meteorology, and engineering
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molecular simulation) and the skills involved in using high-performance computing Continual interaction with an ongoing experimental program Introduction to chemical engineering design principles via flow
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). The successful candidate will work in Maximilian Larena’s research group, and co-supervised by Prof. Mattias Jakobsson and Prof. Carina Schlebusch. The research program consists of an international team
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You will join the UBIX Research Group (https://www.uni.lu/snt-en/research-groups/ubix/), led by Prof. Raphaël Frank, and work in close collaboration with the industrial partners that are part of
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-known European partners from research and globally leading industry partners for wind energy. Through MiRadOr, you will be at the forefront of developing knowledge and technology to help accelerate
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(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
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enrol full-time into the PhD program at Curtin University and must meet their Milestone 1, 2 and 3 requirements. Enquiries Prof. Boris Gurevich, email b.gurevich@curtin.edu.au Further Information
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journals in fields as diverse as the history of ecology, the study of science and technology, and intellectual history. His 2015 monograph Stations in the Field: A History of Place-Based Animal Research