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or acoustic forces and torques, unconventional materials, unpolarised fields, or developing experimentally testable theoretical predictions. 4. Experience with finite-element, FDTD or commercial
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al. Nature Genetics 2020, Costea et al. and Schoeberl et al., Mol Cell 2023, Mol Cell 2025). For a list of ongoing projects and publications, please visit: https://www.kcl.ac.uk/research/pavri-group
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About the role The Functional Materials and Devices Laboratory (https://patel.sites.er.kcl.ac.uk/ ) in the Department of Physics is looking to recruit a Postdoctoral Research Associate (PDRA
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, viability and biological function. The work will require rigorous experimental design, appropriate controls and benchmarks, statistical analysis, traceable data and predefined acceptance criteria. The role
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engages in continuous professional development. Desirable criteria Experience of network analysis/graph theoretical techniques; Experience working with data related to mental health. Downloading a copy of
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Experience in analysing high-dimensional and spatial data, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full
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research themes combining theoretical analysis, probability, and computational modelling. Core duties include: Researching the non-local geometry and topology of Gaussian random fields, and random Laplace
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as well as MSc and PhD programmes. Further information may be found at: http://www.kcl.ac.uk/physics About the role: We are seeking a highly motivated and experienced researcher, holding a PhD in
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. The McTernan Group aims to apply recent breakthroughs in artificial molecular machines, high-affinity host-guest chemistry, and metal-organic capsules, in biologically relevant settings. We work with rotaxanes
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. The role is designed to strengthen research capacity in empirical, data-driven analysis with a particular focus on generating robust evidence that challenges prevailing assumptions and dominant narratives