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PhD Studentship: Leverhulme Trust PhD project: Lawn grass microbial fuel cells for widespread energy
as part of the Leverhulme Trust Research Project Grant, focusing on "Lawn grass microbial fuel cells for widespread energy harvesting." Supervised by Dr. Michael P. Weir, Dr. Alison Tidy, and Dr
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studentship as part of the Leverhulme Trust Research Project Grant, focusing on "Lawn grass microbial fuel cells for widespread energy harvesting." Supervised by Dr. Michael P. Weir, Dr. Alison Tidy, and Dr
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to map pathology-related changes in glycosaminoglycans on breast cancer cells Principal supervisor: Professor Kevin Gough Other supervisors: Professor Cathy Merry, Dr Cinzia Allegrucci, Dr Jennifer
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the inclusion of a larger and wider range of biomarkers. These are key to ensuring treatments are appropriate for patients. One potential biomarker is given by the mechanical properties of cells and tissue
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essential in the maintenance of skeletal muscle health. The ability of skeletal muscle to respond to stimuli such as exercise, injury and trauma, is in part, due to muscle resident stem (satellite) cells
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sequencing, qRT-PCR, western blotting, bioinformatics, ELISA, cell culture, statistics, and literature reviews. A working knowledge of these techniques is therefore desirable. We will compare subtypes, detect
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signalling requirements for cell-lineage establishment. Thus, in addition to being species of clinical importance in their own right, these animals represent excellent models for the study of human
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, and signalling requirements for cell-lineage establishment. Thus, in addition to being species of clinical importance in their own right, these animals represent excellent models for the study of human
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biology is an extremely difficult task. Understanding biological cells as the building blocks of life is fundamental for biology and healthcare. Cells however exhibit very little intrinsic contrast when
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, chemistry, or engineering. They should have evidence of strong background in optics, experience in computer programming, electronics skills, and be willing to learn/conduct cell and tissue-based experiments