13 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" research jobs at University of Newcastle in United Kingdom
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wearable technology advanced analytics. This post will involve collecting wearable technology data, implementing novel machine learning advanced analytics for processing and validation of data pertaining
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until 31 December 2027 for 18.5 hours per week. For informal enquiries contact: eugene.tang@newcastle.ac.uk Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences
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information around the role’s responsibilities within the secondment can be found here . The key aims and responsibilities of the role are: Conduct and publish a comprehensive review with regulators of all
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information around the role’s responsibilities within the secondment can be found here . The key aims and responsibilities of the role are: Conduct and publish a comprehensive review with regulators of all
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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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as such is to-date the largest-scale attempt at establishing a causal evidence-based regarding computational mechanisms of clinical treatments. The Research Assistant will assist with EEG data
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science with clinical research as part of the Mental Health, Dementia and Neurodegeneration Research Theme https://www.ncl.ac.uk/medical-sciences/research/research-themes/mental-health/ , which strongly
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, immunofluorescence and immunohistochemistry. For more information see: PMIDs: 38772281, 36725887 and 37550801. Please note that if you are successful to this role, you will require medical clearance before you can
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options will be considered. Further information can be found here Staff Profile | School of Natural and Environmental Sciences | Newcastle University https://www.ncl.ac.uk/nes/our-research/chemistry/ Key
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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