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also provide support to bioinformatic analyses and data management. The successful candidate should have experience with analysing genomic data, be willing to work as part of a team and to be open-minded
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experience: Essential criteria PhD awarded in genetic epidemiology, statistical genetics, bioinformatics or related discipline Postdoctoral research experience in genetic epidemiology, statistical genetics
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with community gatekeepers, stakeholders and groups Experience of project management – working in parallel on projects of different scale and complexity, prioritising and meeting deadlines within budget
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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statistical genetics, bioinformatics, psychiatric epidemiology, data science, or a related field Strong programming skills (e.g. R, Python, bash) and experience in LINUX/UNIX environments Experience working
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are required in this context; the post holder is responsible for putting these in place. The post holder works closely with the biobank and bioinformatics teams to ensure efficient data processing, storage and
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transformation initiatives and driving sustainable improvements to our core business. Drawing on various process improvement methodologies, you will improve our efficiency by identifying and eliminating the root
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. The successful applicant will help lead the implementation of medical device software quality assurance processes to meet the requirements of ISO 13485, IEC 62304 and IEC 82304 for the Epilepsy Navigation (EpiNav
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-on management and execution of the migration process, ensuring all objectives are met within the specified timeframe. The role holder will ensure that necessary functionality can be supported across existing
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criteria Substantial experience working in the HE sector, preferably in student experience. Experience in establishing, developing and implementing effective procedures and processes. Experience in event