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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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systematic perturbation approaches. Systems Biology: Integrate multi-omic datasets to map the molecular networks influenced by mito-MPs. Machine Learning: Apply cutting-edge protein language models and AI
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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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: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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, 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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Strong communication and teamwork skills You may also have Network inference and analysis experienc Machine learning experience Track record of completed research projects (e.g., publications, tools
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-dysfunction associated steatotic liver diseases). Our group is part of a vibrant scientific community at the TU Dresden and works closely with national and international partners within initiatives such as the
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and computational chemistry and this Hub will promote connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence
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Networks, and ICT Services & Applications. Your role SIGCOM group at SnT, University of Luxembourg, is currently seeking expressions of interest from outstanding PhD students (nearing completion) or early
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possible. We strive to ensure the diversity of our candidates, and we reflect this ethos in the way we promote the ICRF programme and in our recruitment and selection process. Imperial’s diversity networks