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Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating catalytic reaction mechanisms, with a focus
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. The selected candidate will have an opportunity to work in a research-oriented laboratory equipped with state-of-the-art hardware and software tools, performing cutting-edge research related to digital twin
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an outstanding environment in which to develop machine learning tools and engage with an interdisciplinary community of researchers with an interest in AI for healthcare. The post holder will have opportunities
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transport properties. - Operation of new instrumentation and characterization tools. - Mentor and assist in the training of undergraduate and graduate students and contribute to laboratory training activities
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measurement techniques Experience with electromagnetic simulation tools such as Sonnet, Ansys HFSS, Lumerical, or similar platforms Experience with data acquisition, instrument control, and data analysis in
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of algorithms and research tools. Applications will be reviewed starting September 1, 2026, and will continue to be considered until the positions are filled. Further information and application instructions
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-print publication at arXiv. The research facilities available for the project are outstanding. The Department of Applied Physics has a wide infrastructure of tools and instruments, the largest micro
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, from long-read DNA sequencing data and Hi-C. Will also annotate the genome. Additional genomic analyses enabled by the dataset at hand and by accessing other public datasets (e.g. comparative genome
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engagement tools, citizen science, and a rigorous evaluation of engagement pathways. The AU team is led by Professor Polymeros (Pol) Chrysochou. Job description We are seeking a highly motivated Postdoctoral
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jurisdictional differences. In carrying out your work, you will gain: a multidisciplinary, systems-level perspective on tackling the space debris challenge; hands-on experience using ESA’s tools and data resources