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sensitivity analyses across pathology severity, body morphology, camera viewpoint, and environmental conditions Develop a single-camera, home-based markerless system Test the algorithm across lab and home
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the positive ones for different stakeholder groups, as a basis for policy making? Are you interested in spatial optimization algorithms and uncertainty assessment? Then this PhD position at the Department
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. Guidance on writing, presentation, and career development. Flexible working hours. A shared interest in producing high-quality research results. Where to apply Website https://www.academictransfer.com/en
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focused on accelerating therapy development for leukodystrophies: rare genetic disorders affecting the brain's white matter. The network aims to strengthen the full translational pathway from disease
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work on plant genetics, growth strategies, and crop management with the aim of achieving optimal crop performance by integrating plant, environment, and management. The position offers close
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, advanced acquisition strategies, multi-static beamforming methods, and semi-tomographic reconstruction algorithms that enable high-quality 3D visualization of the abdominal aorta. In addition, you will
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, and construction-task constraints, supporting real-time 3D visualization, human monitoring, algorithm testing, and pre-assembly validation. The platform will serve both as a research environment for
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), Computer Science (Machine learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development
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different incentives, mechanisms and regulatory scenarios, evaluating their performance with respect to different objectives and their trade-offs. Developing decentralized and bi-level algorithms to help
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, as well as the team’s work on applied mathematics and advanced numerics, via the ACT website (https://www.esa.int/gsp/ACT/) . You also are encouraged to visit the ESA website: https://www.esa.int