603 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "UNIV" Fellowship positions in United Kingdom
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, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website Further information is available
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stakeholder partners, data collection and analysis, and disseminating findings to create impact. This is a key role in a major new programme of social science research, funded by a philanthropic organisation
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
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for generating data for associated research publications and other forms of dissemination. The majority of the analytic work will be stable-isotope tracer-based mass-spectrometry to assess changes in muscle
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portfolio. You will be required to have strong organisational and data analysis skills. You will be expected to plan and conduct work using approaches or methodologies and techniques appropriate to the type
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of effective & efficient healthcare interventions. You will design and deliver cost-effectiveness and budget impact analyses, analyse healthcare cost and outcomes data, and develop decision-analytic models
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applicant will participate in ongoing projects on microorganism motility that are relevant in a range of ecologically significant contexts, combining experimental biophysics, quantitative data analysis and
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through innovative automation, analytical science, and data-driven optimisation. You will upgrade a self-optimising flow reactor modular platform integrated with high-throughput experimentation (HTE) and
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within the Institute. This role is suitable for individuals who hold, or will have been awarded by the start date, a PhD/DPhil in AI Ethics and/or Data Ethics and/or Neuroethics and/or Philosophy
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to root patterning. Integrate molecular and imaging data into a spatio-temporal developmental framework. Research environment and approaches The project is highly interdisciplinary. The successful candidate