22 data "https:" "https:" "https:" "https:" "ASNR" research jobs at Imperial College London
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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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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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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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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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) - At least two letters of reference - InSpire Link Please contact Dr Andrea Mitridate andrea.mitridate@desy.de for any questions or more information. Application Materials Required: Further Info: https
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, independently and in a team, with evidence provided by by a portfolio of high-quality research publications. This is a fixed-term position for up to 36 months available from 1st October 2026. More information
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stability as system strength continues to decline. Building on existing frameworks such as the WECC Composite Load Model (CLM), you will develop and validate data-driven methods for load identification and
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Imperial Global Singapore (IGS). IN-CYPHER is comprised of four interacting themes, spanning the design of intelligent medical devices through to the use of their data in informing personalised healthcare
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Imperial Global Singapore (IGS). IN-CYPHER is comprised of four interacting themes, spanning the design of intelligent medical devices through to the use of their data in informing personalised healthcare