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following skills and experience: Essential criteria PhD in a relevant subject (molecular microbiology, cell biology, immunology etc) * Prior experience with bacterial pathogens Proven ability to design
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their relationship with treatment responses and disease activity. This is an excellent opportunity to contribute to a collaborative research program dedicated to improving our understanding of ALS and informing future
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biomedical data scientist / computational biologist to join our highly collaborative team at QMUL. PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant
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31 September 2028) in association with a new Faraday Institution-funded project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials (3D-CAT)”. You will have a PhD (or be
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effective lines of communication with all team members The candidate should have a PhD in molecular or cell biology, or a closely related discipline, or equivalent research, industrial or commercial
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understanding of infertility and placenta-related complications of pregnancy. Applicants must hold a PhD in cell, developmental or reproductive biology. Experience in human embryology and cell biology methods
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. Support if required, the development of proposals for research funding. Candidate PROFILE: PhD in Organic Chemistry, Polymer Science, Materials Science, or related subject. Expertise in electrochemistry
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essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data science, statistics, physics, or a related discipline, and have experience of analysing and
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advancing our understanding of heart failure and accelerating the development of novel interventions. Applicants must hold a PhD in a biological sciences discipline and demonstrate substantial experience
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research program dedicated to improving our understanding of ALS and informing future clinical trials. You'll also benefit from being part of a larger team investigating Treg biology and Treg-focused