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To facilitate the successful delivery of the Heilbronn Institute for Mathematical Research managing, co-ordinating and advising on all operational aspects such as planning, reporting, finance
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excellence in imaging, microbiology, genomics, bioinformatics and mathematical modelling in understanding how bacteria exist and thrive as communities across the food chain. The Quadram Institute is a new
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AFBI is now seeking an enthusiastic, internationally recognised scientist with a high level of expertise and knowledge in the areas of plant health and integrated pest management to join its scientific team and lead our work in this area. The Head of Plant Health and Integrated Pest Management...
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safety and security. Our team have expertise that brings together excellence in imaging, microbiology, genomics, bioinformatics and mathematical modelling in understanding how bacteria exist and thrive as
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, Computer Science, Mathematics, or related disciplines with a focus on machine learning, deep learning, or data science. Proficiency in machine learning and computational modelling. Capable of developing and
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supervisors, access to industrial collaborations and top universities from across the UK and beyond-state-of-the-art technologies. We are recruiting open-minded students from any scientific, mathematical
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presentations/reports as required. It is essential that you hold a relevant post-graduate qualification in bioinformatics, computational biology, biostatistics, applied mathematics, or related discipline, and
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travel and computing. Candidates are expected to work in our rooms in the Royal Institution—we do not work from home. The posts are open to researchers in all areas of theoretical physics and mathematics
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(or equivalent) g English Language and Mathematics 2. Paediatric First Aid trained and First Aid certificate. 3. Knowledge of the SEN Code of Practice. 4. Safeguarding training 5. Experience of working with 3
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to unravel the regulatory principles underlying the dynamics of intracellular signalling. We build these models by blending techniques from mathematical modelling and machine learning. More details about the