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with expertise in Electronic Engineering. Your main responsibility will be running microneurography and microstimulation experiments with the developed setup to investigate tactile discrimination
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), University of Cambridge, as part of the Gaia and PLATO system development teams within the IoA Data Projects (CamCEAD) group. Gaia is a space observatory of the European Space Agency (ESA), launched in 2013
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passionate and motivated individual with expertise in operational research, modelling or related field and strong background and competencies in information systems design and development (data science
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field, and have experience of web development, SQL or NoSQL database management systems, and working with JAVA (or Kotlin) for native Android development. Candidates should also have knowledge of software
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-arching ambition is to achieve a step-change in awareness and reputation of Durham University globally. Working alongside the Web and Digital Senior Manager and Head of Marketing, the Social Media Manager
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excellent environment for health care interaction and a strong focus on mentoring and career development. The 2021 Research Excellence Framework (REF2021) placed King’s applied and allied health research 1st
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of algorithms for automatic analysis of data received at the backend. About You You should hold a MSC degree in a relevant field, and have experience of web development, SQL or NoSQL database management systems
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for our major gift prospect audience, from written case studies through to web content and video Managing the development and execution of new creative for the Campaign for Southampton Sourcing new stories
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International travel may be required for this role. Academic Development Programme - new Assistant Professors will undertake a 5-year development programme, at the end of which they are expected to be promoted
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technology, web technologies and AI. (this is a fixed term contract upto September 2025) The role will focus on developing solutions to address barriers to information and data exchange such as data quality