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, and (b) developing and advising others on learning and teaching tasks and methods. You will be expected to advance teaching and learning practice in your modules within the school, take a role in
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machine learning. Supervision will be provided by Prof. Ali Mazaheri, as well as Prof. Fang Gao Smith, and Prof. Helen McGettrick. The successful candidate will have a strong background in psychology
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and kept up to date including maintaining records both paper and computer based as appropriate. Store, curate and back-up data to prevent data loss. Organise, back up and curate research data (e.g. in
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. The aim of project is the safe integration of machine learning methods within the biopharmaceutical development process. This project offers an opportunity to be at the forefront of interdisciplinary
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visits to deskside or providing remote computing support to staff and students at the University. During this apprenticeship you will learn the knowledge and skills required to analyse problems
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the potential to impact on protected groups and take appropriate action. Desirable Skills: Experience with machine learning or natural language processing. Knowledge of econometric methods for policy evaluation
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). Experience of medical data coding, data entry and data validation techniques. Able to query and maintain computer databases. Must demonstrate a critical and intelligent attention to detail including high
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. Knowledge of machine learning and AI driven analytics. Certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate. Informal enquiries to Julian Kobylarz, email
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. To learn new techniques and craft practices in line with evolving technology and legislative Health and Safety Requirements. This may involve attendance on training courses. To manufacture, assemble, erect
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Machine Learning Assisted Diagnosis of Acute Compartment Syndrome via a Web Application. The post is available for a period of 10 months (no later than 31 March 2026). The starting date is between May and