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if part time: 6 years 1st Supervisor: Peter Jarvis 2nd Supervisor: Tao Lyu Introductory Paragraph This exciting fully funded PhD, with an enhanced stipend of £24,000 per annum, will focus
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criteria We are looking for a driven, self-motivated PhD candidate with attention to detail and exceptional analytical skills. Candidates should have a string interest in radiology/imaging, and familiarity
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Applications are invited for a fully-funded four-year PhD position at the intersection of the fields of Journalism Studies and Architecture, focusing on the role of material space and artifacts in
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, formulary, and/or other management experience Managed Care, pharmaceutical industry, and/or Quality Improvement Data Analytics and/or HEOR activities, with demonstrated strong methodological skills (study
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degree (PhD. in Computer Science). Start date: no later than January 2025. Project description The research topic for this position is robotic lab automation for handling powdered and granular materials
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nationally important. During the PhD, you will have the opportunity to visit this extensive facility. The successful applicant will also make use of the analytical and pilot plant facilities available
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experimental outputs including analysis and interpretation of all data to publication standard. Maintain complex and/or high-volume databases and records, creating technical/progress reports and papers. 9
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preparation of samples, pooling strategies, and best practices on how to minimize technical artifacts; 4) train users for available technologies in µNiSCH; 5) coordinate bookings of outside users, archiving and
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; 8+ years with master's degree; 6+ years with terminal degree: Clinical, formulary, and/or other management experience. Managed Care, pharmaceutical industry, and/or Quality Improvement. Data Analytics
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-volume and high-velocity data applications. The proposed solutions will include high-performance computing that can be applicable for several geospatially focused research and development projects in