23 process-engineer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Cardiff University
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completion / submission) in a related subject area or relevant industrial experience. · Have expertise in Large Language Models, Natural Language Processing, Machine Learning and Responsible AI. · Proven
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to fostering a diverse and inclusive environment. If you are motivated by big theoretical questions, excited by rich multimodal data, and eager to help shape a new, process-based science of development, we would
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within Natural Language Processing and Artificial Intelligence within the SYLFAEN-PSY project led by Cardiff University’s School of Medicine. The main goal will be to develop new AI methods
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, proficient in the use of common office software (e.g. MS Office), with the ability to set up standard administrative systems and processes, be able to analyse procedures and advise on improvements, have the
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criteria. During the application process you will be asked to attach a supporting statement. This statement must outline how you meet the criteria below and we recommended formatting this by using each
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University as we embark on a period of transformation. This multi-year body of work is designed to create a ‘one University’ approach to structures, processes and systems. An experienced content producer
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effective service to customers. Reporting to the Manager, this role will have a degree of autonomy and exercise a high level of judgement regarding the operation of the Nursery Service at Cardiff University
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specification as a key tool for short-listing. Candidates should evidence that they meet ALL of the essential criteria as well as, where relevant, the desirable. As part of the application process, you will be
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@cardiff.ac.uk. Informal enquiries in relation to the recruitment / application process can be sent to Leah Fowler, HR Administrator – [email protected]. Salary: £41,064 - £46,049 per annum, pro-rata (Grade 6
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closely with the trials unit and co-investigators to support the completion of work-packages related to the clinical trial, the mixed-methods process evaluation, the economic evaluation and implementation