206 structural-engineering-"https:"-"https:"-"https:"-"https:"-"Dip" Postdoctoral positions in United Kingdom
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of Engineering Science. The post is funded by EPSRC and is fixed term to the 31st January 2027. A2I explores core challenges in AI and machine learning to enable robots to robustly and effectively operate in complex, real
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, medicine, physics, engineering etc. are welcome but you will exercise your creativity and boldness through, establishing new experimental paradigms and obtaining new experimental data. You have to be a team
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insight from research into decision making. Quantitative research skills and experience, including observational research designs, statistical analysis and analysis of wearable technology or associated data
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manganese) nutrients and how they interact together to shape primary production, ecosystem structure and the global carbon cycle. This specific post is focussed on ocean primary production and better
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to explore the regulation of mRNA modifications in developing cortical neurons. Key techniques will include biochemical approaches, fixed tissue imaging, stereotactic surgery, structural and functional
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Knowledge of software packages, including Word, Excel and chemical structure drawing and bibliographic programmes Knowledge of analytical and preparative LC_MS techniques Track record of published research in
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Postdoctoral Research Associate in RF System Development Specialist and Supporting Academic Research grade 6 from £35608 Wolfson School of Mechanical Electrical and Manufacturing Engineering Full
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findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering Excellent coding skills Preferably a familiarity with machine learning and deep
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: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real