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of the post is to support work for our NIHR HSDR grant, “Improving kidney failure risk calculations in ethnically diverse populations”, involving epidemiological data analysis using electronic health records
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a team including clinicians, neuroscientists, engineers and computer scientists, all of whom are engaged with studying the early developing brain with previously unprecedented precision. The post
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: Essential criteria PhD qualified in relevant subject area (Human Genetics) Experience in data specification, modelling and design Extensive experience of managing large research datasets (including initial
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from the King’s College Hospital Electronic Records Research Interface (KERRI) to understand the needs and characteristics of the local population living with chronic breathlessness. The analysis will
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and be supported to develop their expertise in the relevant hardware techniques. Applicants should have, or be about to gain, a PhD in experimental particle physics or detector physics (HEP or nuclear
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minimum of 85 PhD students in health data science over five cohorts in the next 8 years. Co-created with NHS Trusts, national and international industry and charity partners, DRIVE-Health will deliver
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attracting funding for research and/or research impact. 5. Excellent oral and written communication skills 6. Competence with electronic learning platforms and other IT skills 7. Ability
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. Registered as a PhD student in relevant topics of Telecoms, Computer Science, Electronic Engineering or related area. Experience: 3. Ability to demonstrate a record of peer-reviewed publications. 4
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Experience with functional analysis of islets of Langerhans. Desirable criteria, grade 7 Ability to obtain research funding (directly or indirectly). *Please note that this is a PhD level role but candidates
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. Experience of human stem cell differentiation protocols. Desirable criteria, grade 7 Ability to obtain research funding (directly or indirectly). * Please note that this is a PhD level role but candidates who