1,813 data-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Cambridge" Fellowship positions
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. You will maintain confidentiality regarding research data when interacting with non-collaborating researchers. It is essential that you hold a BSc degree, and are UK GMC registered Medical Practitioner
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recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in modelling infectious disease dynamics, population
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at telephone number 2766 7813 or via email at mmyschoy@polyu.edu.hk for further information. Conditions of Service For full-time appointment, a highly competitive remuneration package will be offered
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information, hydrologic data and survey records. Skills and Experience To be considered for this position, you will have: completed a PhD or equivalent qualifications or research experience a record of
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. There may also be opportunities to be involved in related mathematical modelling projects, as well as data analyses to help parameterise and calibrate such models. There may also be the opportunity
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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basis starting from 01/04/2026 for 24 months. For further information, please contact: Prof. Victoria Chapman (victoria.chapman@nottingham.ac.uk ), Dr Federico Dajas-Bailador (F.Dajas-Bailador
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for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 12 January 2026. Apply Now Posting date: 30 December 2025
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developing advanced, data-driven models and tools to integrate renewable generators securely into Renewable Energy Zones (REZs). Our goal: a reliable, affordable, and resilient decarbonised power system
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this fellowship, you will participate in research projects involving canine biometric data, looking for novel ways to identify and individuate dogs using neural networks, local feature mapping, image classifiers