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compliance with legal and regulatory requirements in respect of equality and diversity, data protection, copyright and licensing, security, financial and other University policies, procedures and codes as
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‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8020F Research Area: Biological Sciences Select PhD Biological Sciences (Full Time) as the
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etc. We expect excellent skills in mathematics, especially knowledge in formal methods, stochastic systems and processes, the foundations of deep learning. Experience coding with deep learning libraries
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, experienced in writing clean, modular, and reproducible code. Familiarity with data pipeline development, data base design/querying/scripting, and API integration AI/ML Model Development: build, train, evaluate
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, computer science, or a related field Strong analytical, quantitative, and coding skills (particularly in Python) Experience handling and analysing large-scale biological datasets Track record of writing papers as
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holder may also be required to undertake and code semi-structured interviews & provide administrative help on the project. Much of the work will be in the Spanish language. About you The post holder must
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software. You will have a High-level ability to code in one or more current programming languages (Python preferred) for a range of visual and interactive applications. Experience of AR and VR production
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management using Puppet and Git, and continuous integration solutions Ability to provision and test a wide change of Open Source applications, using a variety of methods (source code, scripts, containers
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including the Code of Practice/Ethics and the confidentiality of the results management process Experience and competence in the analysis of chemical and biological material for substances and methods used in
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Rolls-Royce engines. The project will involve both code development and simulation of engine systems. You will be working closely with engineers at Rolls-Royce and with academics, postdoctoral research