131 software-formal-method-phd uni jobs at University of Birmingham in United Kingdom
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, tools and ideas in in software engineering and DevOps, including attending conferences, networking with industry peers, undertaking formal training and taking part in technical workshops as appropriate
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expertise in the creation of educational media. Working closely with academics, you will identify key aspects of their teaching methods and content to ensure the creation of tailored learning experiences. By
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will be vital to the success of this role. Main Duties To identify, evaluate and communicate emerging technologies, products, services, and methods in the context of the University’s goals. To lead and
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frameworks, tools and technologies will be vital to the success of this role. Main Duties Technology: To identify, evaluate and communicate emerging technologies, products, services, and methods in the context
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Job Description Position Details IT Services Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413 with potential progression once in post to £48,149 Grade: 7 2 positions available: 1x Full Time, Permanent 1x Full Time,...
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staff in all aspects of their teaching through departments based within our Libraries and Learning Resources division, in Academic Services. The Grade 6 Digital Education Developer post sits within
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) providing expert advice to staff and students, (b) supervising and examining PhD students, and (c) developing and advising others on learning and teaching tasks and methods. Research is likely to involve
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to work on related methods, including development of simulation-based analysis and computational methods. You will work closely with a multidisciplinary team, including clinicians, epidemiologists
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; Continuum Mechanics; Geometry and Mathematical Physics; Mathematical Biology and Healthcare; Mathematical Data Science; Nonlinear Systems; Numerical Analysis; Optimization; Quantitative Methods for Finance
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required. Knowledge of statistical modelling and Bayesian methods. Knowledge of statistical software, particularly R. Strong statistical programming skills. Understanding of clinical trials. An ability