605 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" Fellowship research jobs in United Kingdom
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provide information of what criteria will be assessed at each stage of the recruitment process. Further Information At King’s, we believe that the diversity of our community and a culture that is welcoming
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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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, to generate crucial information revealing the cellular roles, functions and underlying mechanisms by which MICL regulates immunity. The focus of this work will be to elucidate the components of MICL involved in
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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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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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multidimensional Inverse Synthetic Aperture (ISAR) Data- Aemelia”, funded by NSIP2/UKSA, maximize impact and pave way for the follow on projects on dual use technologies for SDA and space autonomy the position
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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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, 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