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dynamic Electrochemical Impedance Spectroscopy (EIS), combining advanced measurement technology with modelling and data-driven analysis. A key component is a novel measurement approach that enables high
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning
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, Engineering, mathematics or related disciplines with a strong background in data analysis, mathematical modeling and algorithms Good programming skills in Python/C/C++ Good oral and written skills in English
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background in quantitative data analysis, mathematical modelling, and experience in methodologic development and implementation; (d) be able to demonstrate a high level of creative ability in research in
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supervisors. A wide variety of PhD projects is available; example project areas are: Human-machine teaming AI agents for air traffic control Weak signal analysis for air traffic control room situational
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on the analysis and development of biomarker profiles for the personalized assessment of cardiovascular risks associated with cancer therapy. You will be responsible for: Conducting proteomic analyses of blood
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18 Apr 2026 Job Information Organisation/Company CNRS Department Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie Research Field Engineering Computer science Mathematics
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control performance and efficiency. This PhD project focuses on data-driven analysis of confined liquids structure, informed by total neutron scattering. The emphasis is on developing new analysis
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/Administrative Internal Number: 495976 Department: Chemistry Salary: Commensurate with Experience/Education Description: Provides expertise in support of research projects in engineering, biology, mathematics
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: £36,636 to £38,784 per annum The Role We invite applications for a Research Assistant or Associate in Operator Algebras to work with Dr Chris Bruce in the School of Mathematics, Statistics and Physics