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Fixed-term: The funds for this post are available for 3.5 years in the first instance. Dive into the future of visual technology with a studentship at the forefront of modern imaging science, where
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) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage
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wet- and dry-lab scientists that are studying RNA, chromatin and transposon biology, covering all aspects of this RNA-based immune system, including the biogenesis of small non-coding RNAs and the
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- or tissue-microenvironment. Our existing collaborations with AstraZeneca have yielded very interesting data specific metabolites that are involved in the migration and positioning of regulatory (Tregs) and
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, interdisciplinary research group, including a postdoc, DTP students, and technicians. Training will include fieldwork, bird handling, ringing, lab techniques in molecular biology, microbiome sequencing
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, please state the course code EGEGR3 with Project: Data-Intensive AI Thermodynamic Models for Next-Generation Building Decarbonisation with Prof Dongfang Liang. Please note that there is a £20 application
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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: Advanced molecular and protein analysis Mass spectrometry-based imaging Multi-omics technologies Preclinical cardiometabolic animal models They will also gain professional development in data stewardship
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https://www.cambridgetrust.org/scholarships/ Applications should be made online via the University of Cambridge Applicant Portal: (via the above ‘Apply’ button) stating course code EGEGR3 with Project
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PhD Studentship - Marie Curie network MetaExplore: Functional metagenomics - novel biocatalysts for a sustainable circular economy from ultrahigh throughput screening. A postdoctoral position is