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Field
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work on a translational project and generate preliminary data for a PhD. Examples of programmes on-going include using peripheral immune cells to predict immunotherapy response in biliary tract and liver
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years. The successful candidate will have experience with cancer drug development, handling computational biology, proteomic and transcriptomic data, working with patient and animal-derived primary cell
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, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to this position is subject to
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is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught
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work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Person
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cells with greater precision, persistence, and safety, using synthetic biology, molecular immunology, and translational models. Led by Dr. William Gibson, the lab is based at Dana-Farber and Harvard
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Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management
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model reliability and predictive confidence Publish high-quality scientific results in Tier-1 journals Job Requirements: A PhD degree in Mathematics, Computer Sciences, or related areas, with focus
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-economic analysis and life cycle assessment methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data
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assays and techniques and establishing and managing mouse models of both breast cancer, glioma and other tumour types. This position offers an opportunity for open and collaborative engagement with other