83 Computer-Science "https:" "https:" "https:" "https:" "https:" positions at University of Manchester
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sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics) – including aspects of informatics and advanced data analysis. You will be responsible
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-year period. The Fellowship is an excellent stepping stone to establishing an academic career in nuclear science or engineering. ELIGIBILITY TO APPLY The Fellowship is for Early Career Researchers (ECRs
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processing, cell and bacterial culture, and imaging workflows underpinning studies of disease progression and treatment response. This work sits within a wider programme applying tissue-engineered, in vivo
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collection and advanced biomarker analysis. What you will get in return: Market-leading pension scheme Employee health and wellbeing services, including an Employee Assistance Programme Generous annual leave
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field Possess a strong, proven track record in modern NMR techniques Desirable Criteria Have proven skills in computer programming, with experience in as many as possible of the following areas: Python
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systems, with close collaboration with Rolls-Royce. This is an outstanding opportunity to establish an independent research profile in nuclear fuel technology while working in a nationally significant
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research programme with real-world impact. Help build and support communities of practice, engage with patient partners, and contribute to knowledge mobilisation across the consortium. Work in a role that
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of LEAP (Language Experience for All Programme), within a dynamic and inclusive environment. You will be responsible for: Provide instruction in written and spoken Spanish both in class and online
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be based in the Department of Computer Science and the National Centre for Text Mining. Develop biomedical NLP methods for mechanism extraction Design and implement methods for extracting biomedical
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research programme. This role offers an exciting opportunity to reveal the organising principles by which the physical and metabolic landscape orchestrates the behaviours of tissues over time. By revealing