221 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " positions at KINGS COLLEGE LONDON
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- 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES
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of femtosecond pulses will be complementary. The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly
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are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies. About the role
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24 Dec 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Literature Engineering Geography Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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19 Dec 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Engineering Environmental science Physics Researcher Profile Recognised Researcher (R2) First Stage Researcher
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skills necessary to understand how power, influence and change move through political circles. The Senior Programme Officer works as part of a team across Strand Group and School for Government (SfG
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the opportunity to study right in the heart of London, a global and multilingual city where we experience languages and cultures in action every day. About the role We are looking for a Senior Programme Officer to
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Researcher (R1) Application Deadline 25 Jan 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a
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mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong programming proficiency in R