11 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" research jobs at University of Newcastle
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collaborative project that spans multiple continents. Your main role will be to develop advanced algorithms for multivariate, multi-resolution time series analysis of wearable and neurophysiological data spanning
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period of 6 Months For informal enquiries contact: Dr Demetris Soteropoulos (Demetris.soteropoulos@ncl.ac.uk ) Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical
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outcomes. Working with the wider research team including the Co-Lead (Dr Jade Kettlewell) and directly supervised by the PI (Dr Eirini Kontou). This post is part time, fixed term for a period of 24 months
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collaborators, contributing ideas and troubleshooting. You will have excellent opportunity to work with a broad range of researchers in both Newcastle and internationally. For more information see, https
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Regulation project, in partnership with the MHRA and funded by ARIA. The successful candidate will join the research group of Principle Investigator Dr. Luke Bashford at Newcastle University. In this project
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Regulation project, in partnership with the MHRA and funded by ARIA. The successful candidate will join the research group of Principle Investigator Dr. Luke Bashford at Newcastle University. In this project
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Robson (c.n.robson@ncl.ac.uk ) Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here: https://www.ncl.ac.uk
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contact: [Dr Apoorva Peddada- apoorva.peddada@ncl.ac.uk] Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here
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Research Assistant/Associate in the safer management of long-term conditions (LTCs) in disadvantaged
opportunity for a motivated researcher in epidemiology, data science for public health, or statistics - with a strong background in quantitative methods or statistical analysis and programming - to join a
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familiar with spatial analyses, species distribution modelling (SDM), and programming in the R or Python languages to apply these to: Collate and analyse spatial data on MPA boundaries, their protection