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of donated human post-mortem brain tissue samples. During this studentship, the successful candidate will develop and characterise novel patient iPSC-derived neuronal-glial organoids to model
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funded PhD position is available to evaluate variation in spinal treatments using engineering methods. Specifically, the project will develop and validate novel computational testing methods to evaluate
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degree in statistics, computer science, data science or computational biology. Ideally, the applicant would have a background in both biology/biomedical sciences and statistics/data science. Applicants
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, participants, materials/apparatus (if appropriate), procedure, analyses References. Please see the Guidelines for Applicants (music education) at www.rncm.ac.uk/research/programme/postgraduate for further
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Location:Hammersmith Campus About the role: We are looking for a Research Associate or Research Assistant to join a research programme studying how the immune system responds to changes in lipid
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The Intelli-Ingest Doctoral Network is an EU-funded Marie Skłodowska-Curie Action (MSCA) initiative is a network bringing together leading academic, clinical, and industrial partners to train a new generation of experts in ingestible medical technologies. These orally delivered, minimally...
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Computational Chemistry methods to model enzymes and polymers. Designing and optimising novel biodegradable polymers. Integrating novel AI tools into the discovery process for new polymer candidates. Project
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to address the problem is to recruit a high performing PhD student to embark on a psycho-biological, mixed-methods programme of research that has the following aim: Develop a feasible, acceptable, efficacious
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fibre felts. The project will explore depolymerisation using enzymatic and solvent-based approaches, assess mechanical and filtration performance post-regeneration, and quantify environmental trade-offs
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world