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hierarchically organised samples. To achieve this, we need to improve our understanding of the physical image formation and data recovery processes, among other topics. The advertised positions will focus
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: Scientific Area: Mechanical Engineering Objectives: 1. Support for the state of the art and definition of needs, requirements, and technical specifications 2. Support for the development of a computer vision
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: Scientific Area: Mechanical Engineering Objectives: 1. Support for the state of the art and definition of needs, requirements, and technical specifications 2. Support for the development of a computer vision
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Are you passionate about data science, AI, technology, and the environment? We’re looking for a curious and motivated PhD candidate in Environmental Data Science to join the Horizon Europe project
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, Sustainability, Diversity, Technology, AI, Design Thinking Topic Collaborative innovation: Innovation has become imperative for organizations and societies at large. The increasing pace of technological and market
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-inflammation and psychiatric disorders (e.g. depression). The cellular processes underlying structural brain change include neurogenesis and gliogenesis, cell loss, changes in cell shape, synapse formation and
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some of the biggest challenges in medicine today? Join us to explore groundbreaking science that could revolutionize how we treat inflammation-driven age-related diseases and promote healthier ageing
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expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high corrosion susceptibility of additively manufactured biodegradable Mg and Zn alloys. Host: Helmholtz-Zentrum Hereon
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary