306 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "Newcastle University" positions at University of Glasgow
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types of support appropriate to their needs and that services are visible, seamless, effective and tailored to the needs of the student community. A wide programme of early intervention self-help
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Job Purpose You will join a 5-year, flagship EPSRC Programme Grant, SUSTAIN (sustain-pg.org), developing next-generation sustainable heterogenous E-Textiles as Imperceptible Human Interfaces. Our
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, who share our aim to develop affordable and deployable systems for low-resource settings. The challenge is to integrate multiple detection targets onto a single easy-to-use, sample-to-answer platform
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Job Purpose You will join a 5-year, flagship EPSRC Programme Grant, SUSTAIN (sustain-pg.org), developing next-generation sustainable heterogenous E-Textiles as Imperceptible Human Interfaces. Our
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Job Purpose You will join a 5-year, flagship EPSRC Programme Grant, SUSTAIN (sustain-pg.org), developing next-generation sustainable heterogenous E-Textiles as Imperceptible Human Interfaces. Our
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to support early career researchers whose work is informed by, and seeks to extend, progressive and radical traditions of critical investigation broadly conceived, whether through the development of new
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under the guidance of the Principal Investigator: 1. Plan and conduct assigned research individually or jointly in accordance with the project deliverables and project/group/School/College research
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(Ordinary Degree, Scottish Vocational Qualification level 4), or equivalent, including professional accreditation with formal training), and experience of personal development in a similar or related role(s
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develop/implement a suitable research strategy to deliver project/area requirements and opportunities. 5. Presentation of work at international and national conferences, at internal and external
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on real-world health data analysis — including study design, data wrangling, phenotype development, data integration, and statistical and machine-learning methods — to accelerate project delivery