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You You should have a PhD in Electronic Engineering/Computer Science with teaching experience in Higher Education at undergraduate or postgraduate level and the demonstrable ability to deliver teaching
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interaction between atherosclerotic plaque macrophages and neutrophil extracellular traps and how it impacts cellular function and disease progression. About You Applicants should hold a PhD degree or
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from national and international cohorts. About You PhD in data science, experience in analysing large multi-modal datasets, machine learning and clinical terminologies About the Institute You will be
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/). About the School SEMS is a large School with approximately 100 academic staff and 45 postdoctoral research staff. There are around 1800 undergraduate and taught postgraduate students and 220 PhD students
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at the PDRA level must have a PhD in Computer Science or a related field. Candidates must have substantial knowledge in Deep/Machine Learning, Large Language Models (LLMs) Natural Language Processing and
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Science/Electronic Engineering (or equivalent). Applicants at the PDRA level must have a PhD in Computer Science or related field. Candidates must have substantial knowledge in Deep/Machine Learning, Audio and/or
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will have a PhD in Bioinformatics, Epigenomics, Computational Science, or equivalent. They should have extensive experience in ML/AI approaches, ideally within an epigenomic context. A proven track
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have a PhD in bone/skeletal research and/or immunology. Additionally, experience of in vitro (bone) cell differentiation and associated molecular, proteomic and imaging techniques is required. Experience
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epidemiology as well as a relevant PhD (public health, environmental health, environmental science or engineering, epidemiology, microbiology, or similar). The applicant should have a track record of working
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of child death) study, working closely with other project staff (clinical, project administration, investigators, PhD students, and social science staff). They will supervise other ongoing research projects