28 Mathematics "The University of Edinburgh" Postdoctoral research jobs in Ireland-United-Kingdom
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by Dr Giovanni Stracquadanio. We are an interdisciplinary group based at the School of Biological Sciences at the University of Edinburgh, interested in addressing challenges in healthcare and
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in electrical and computer engineering, including physics, mathematics, signal processing, and machine learning demonstrated by a relevant Ph.D. degree and a scholarly record. For more information on
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Department: School of Mathematical Sciences Salary: £42,405 per annum (If appointed in Lieu of PhD, salary start will be Grade 4 £36,572 per annum until PhD is awarded). (Grade 5) Reference: 2406
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Department: School of Mathematical Sciences Salary: PDRA salary £47,178 - £49,785 per annum. If appointed in Lieu of PhD salary start will be £36,572 per annum until PhD is awarded. (Grade 5
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. We're seeking someone with a passion for developing new algorithms, mathematical formulations, machine learning models, and robust systems that will help enhance the scene representation, understanding
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technical background in mathematics and statistics, including Bayesian modelling is essential. You will also have demonstratable experience in Deep Neural Network based approaches, coding skills in Python and
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, image analysis, mathematical modelling, and stochastic molecular dynamics simulations to investigate the physical mechanism of how antibiotic treatments ultimately lead to bacterial cell death. The post
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storage. Skills in computer programming such as Python, MS Excel, Excel VBA, MATLAB, mathematical optimization tools. Skilled oral and written communication skills at levels of the organization. Ability
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storage. . Skills in computer programming such as Python, MS Excel, Excel VBA, MATLAB, mathematical optimization tools. Skilled oral and written communication skills at levels of the organization. Ability
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Berkeley Lab’s Applied Mathematics and Computational Research Division seeks a Postdoctoral Scholar with expertise in AI and foundation models (e.g., LLMs) for knowledge discovery. A background in