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machine learning in relation to neurodevelopment in collaboration with the Complex Disease Epigenomics group (led by Prof. Jonathan Mill) and the MRC Integrative Epidemiology Unit at the University
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available from 01/04/2024 to 31/03/2025. The successful applicant will combine remotely sensed datasets with machine learning to map peat extents, habitats, habitat condition and change. The post will include
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learning directly to the working professional. We believe that this philosophy directly fits with the requirements laid down by apprenticeship standards, serving both apprentice and employer. The role
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workplace learning and assessment. About you For a Lecturer post you will: Possess sufficient breadth or depth of specialist and core knowledge in the discipline, demonstrated by a PhD (optional) or
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funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification/experience in a related
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knowledge in the discipline, demonstrated by a PhD or equivalent in Medieval History to develop teaching programmes, and teach and support learning Use a range of delivery techniques to enthuse and engage
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possess a relevant PhD or equivalent qualification/experience in maths, physics, computer-science, meteorology, or a related numerate scientific discipline. The successful applicant will be a nationally
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understanding. The successful candidates will be responsible for conducting cutting-edge research in machine learning, multimodal data analysis, and video understanding applied to social media data
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fractures and the cause using X-Ray images. The successful candidate will be responsible for conducting cutting-edge research in machine learning and computer vision applied to medical data. Responsibilities
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of this employer-led provision. About you For a Senior Lecturer post you will: Possess a depth or breadth of specialist knowledge demonstrated by an academic or professional qualification to Masters level or PhD in