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Aberdeen. The successful candidate should have post-graduate qualifications to PhD level (or very near to completion) within the fields of economics, agricultural economics and experience working on food
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PhD (or near to completion) in relevant subject area (structural biology or biophysics) High level analytical capability Ability to communicate complex information clearly Fluency in relevant models
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Requirements: Have relevant competence in the areas of material science and chemical synthesis Have a degree in materials science/ chemistry. Possessing a Master’s or PhD degree will be advantageous with prior
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clinical trial portfolio for a research programme in antimicrobial resistance and work to support colleagues in data-enabled trials. You will also undertake statistical methods research associated with
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Sciences, University of Birmingham, led by Dr Rebecca Drummond. We are looking for an enthusiastic and committed scientist to join our project team, which is aiming to better understand the in-host behaviour
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This is for one position which can be appointed at either Associate or Fellow level depending on experience and skill set New full-time post is available from January 2026 on a fixed term basis for
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work alongside renowned academics and researchers in ENU’s School of Computing, Engineering and the Built Environment. If you are someone with expertise in multimodal speech processing and AI algorithms
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Computer Science, Data Science, AI, or a related field with substantial expertise in data science/AI methods Strong publication record in relevant areas Demonstrated ability to work across disciplinary boundaries
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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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Job Description Position Details Department of Cancer and Genomic Sciences, School of Medical Sciences, College of Medicine and Health Location: University of Birmingham, Edgbaston, Birmingham UK