364 coding-"https:"-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions in United Kingdom
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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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, Health & Safety codes of practice and University standard procedures. Carrying out maintenance project works, identifying the requirements of departments and preparing a design brief. Preparing designs
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support to the Research Finance Team. In particular, you will be responsible for raising invoices on the finance system, as well as for allocating income received from funders onto research codes and
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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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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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, 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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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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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