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, and spatial transcriptomics. Key responsibilities include: Developing AI/ML methods for image alignment across modalities Automated feature detection Predictive modeling of vascularization patterns
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: 10.1038/s41467-023-39984-3 Position Requirements This level of knowledge is typically achieved through a formal education in Physics, or a related field at the PhD level with zero to five years
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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. Traditional methods for coating and stabilizing LFP cathodes often face limitations in durability and electrochemical efficiency. This research aims to overcome these challenges by applying innovative coating
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safeguarding systems, to promote the welfare of young people in places where they spend their time. In September 2025 the programme will formally be established as an interdisciplinary research centre
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resource recovery pipelines You will contribute to the translation of structural and biophysical insights into technologies or methods for transforming recovered biopolymers into valuable products or process
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of field-grown vegetables or agricultural crops, and master state-of-the-art experimental and analytical methods in plant physiology, agronomy and agroecological research. You are expected to have research
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highest level of general business knowledge, normally acquired through attainment of a directly job-related terminal degree or equivalent formal training in a recognized field of specialization that is
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animal species, generating standardized data that works effectively across diverse languages and cultural contexts while eliminating traditional barriers of recall bias. These methods are being deployed in
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biological problems and is thus not focused on development of computational methods. We wish to generate small protein binders against a range of important neuroscience targets – principally intrinsically