15 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs at Imperial College London in United Kingdom
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outputs with electrochemical performance data from a variety of analytical techniques (e.g. diffusion, conductivity, power density etc) (D) Highly confident and articulate with outstanding communication and
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developing, documenting, and maintaining opensource software related to this project. Further information on the research of Dr. Marios Kogias can be found at https://marioskogias.github.io/ . Research
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join the Resilient Information Systems Security group, led by Professor Emil Lupu, www.rissgroup.org . The position offers an exciting opportunity to conduct internationally leading and impactful
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Practical experience of scanning electron microscopy including electron back scatter data processing and analysis (E) Highly confident and articulate with outstanding communication and persuasive skills both
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Ministries of Health and partner research institutes across 24 countries, to improve understanding of dengue and Zika virus circulation and interaction (https://www.imperial.ac.uk/news/articles/medicine/school
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by the Medical Research Council, that aims to improve the standardisation, modelling, and analysis of prescription data in Parkinson’s disease, with the goal of predicting medication-related side
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healthcare interventions. You will design and deliver cost-effectiveness and budget impact analyses, analyse healthcare cost and outcomes data, and develop decision-analytic models. Working closely with
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modelling to address missing data and uneven data collection across different centres. Second, based on our recent deep learning biomechanics modelling work, you will perform cardiac biomechanical modelling
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-economic considerations, to rank hot spots and inform the creation of centralized, global AMR data repository integrating hotspot-specific surveillance data from multiple sectors. In addition, you will
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to refine the model, based on the NIHR Health Informatics Collaborative large dataset, particularly on imputation modelling to address missing data and uneven data collection across different centres. Second