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Field
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novel methodology for the analysis of single-cell (multi)-omics data by incorporating existing biological knowledge into machine learning models. You will join a collaborative and internationally-oriented
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships provide funding for fees and stipend at the rate set by the UKRI, as well as other research training...
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fully funded 3.5 PhD (GTA) starting in January 2027 for the following disciplines; Biochemistry, Cell Biology, Chemistry, Computational Biology, Genetics, and Sports, Exercise and Rehabilitation Sciences
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quantitative imaging, we work towards a multi-scale understanding of how molecular composition and subcellular organisation shape cell function, plasticity and disease. A central biology focus of the lab is
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the biological mechanisms that drive tumour initiation and subsequent growth holds significant promise for improving patient outcomes. This PhD project explores the novel concept that cell fusion between two
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the low volumetric density of hydrogen, ammonia has emerged as a promising hydrogen carrier and zero-carbon fuel. The overall aim is to develop a novel direct ammonia fuel cell technology that can
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Fully Funded PhD Position: Decoding Chromosome 1 Risk in AMD Using Stem Cell–Derived Retinal Models Host: Newcastle University (UNEW), UK Consortium: MSCA Innovative Training Network Pandora Start date
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Your position Despite the success of EBV-specific T-cell therapies in selected malignancies, therapeutic efficacy remains limited in tumors expressing only a restricted repertoire of viral antigens
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for Rare Mitochondrial Diseases and will leverage access to a well-characterised, unique cohort of mitochondrial disease samples. Methods You will apply single-cell proteomic and genomic technologies
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Profiling: Performing and analyzing state-of-the-art single-cell RNA sequencing (scRNA-seq) alongside bulk and single-cell epigenomic assays. o Data Integration: Collaborating with data scientists to map