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of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks that regulate
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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The Researcher will work with community organisations, businesses, local authorities and Governments across the UK to understand how systems approaches can unlock sustainable Net Zero solutions
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focused researcher, driven to solve complex scientific problems independently and in a collaborative environment. Efficient oral and written communication skills are required. For information about the
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Interest We welcome applications from all disciplines aligned with one of the strategic research priorities below: Clean Technologies: Net zero innovation, sustainable energy, circular economy Life Sciences
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:32984792 [Lancet Digital Health 2020]), and network medicine (PMIDs:35572351 [Nature Aging 2021], 31375661, 30002366 and 30867426 [Nature Communications 2018, 2019a and 2019b]) to address challenging
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Location: Ljubljana, Ljubljana Urban Commune 1000, Slovenia Subject Area: Quantum Computing / Quantum-Classical Hybrid Appl Deadline: 2025/12/31 11:59PM (search halted posted 2025/03/05) Position
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project “Fern seed found? Testing a new hypothesis for the origin of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing
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, or imaging approaches in animal models and human tissue. The successful applicant will be embedded in the larger Neuroscience community at UTSW and OBI, and will benefit from a network of collaborations with
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Technology and Edge AI Solutions to take a leading role in COG-MHEAR under the direction of Professor Amir Hussain , developing Edge based audio-visual speech enhancement and separation technologies in real