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and willing to tinker with equipment. Interested in how machine learning and modelling techniques can impact real-world processes. Experienced with kinetic analysis and/or coding (MATLAB or Python
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and diversity, data protection, copyright and licensing, security, financial and other University policies, procedures and codes as appropriate. • Take reasonable care for the health and
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mechanics. It is essential that the successful applicant can directly translate mathematical models to code (rather than directly apply FEM software) since the long-term objective is to translate the methods
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predictive insights into structure–property relationships. The PDRA will also produce python code for advanced scientific data processing. This will then be implemented in the data pipelines of the project
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for Digital Enablement (CoDE) drives the initiatives to elevate digital competencies for academic staff and students within SIT. It works with various stakeholders, both internal and external, in upskilling
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to have the following skills and experience: Essential criteria 1. Experience and knowledge of systems set out in the Animals (Scientific Procedures) Act 1986 and Home Office Code of Practice. 2
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situations. Recruitment Monitoring: This post is subject to recruitment monitoring to ensure that the selection process is consistent with the law and the College’s Equal Opportunity Policy and Code
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Constrained experimental design Combining models and combining data / Realistic simulation of clinical trials Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality Generalisability
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situations. Recruitment Monitoring: This post is subject to recruitment monitoring to ensure that the selection process is consistent with the law and the College’s Equal Opportunity Policy and Code
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code: 8314F · select ‘PhD Geoscience (full time)' as the