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/6GIC), is looking to recruit a Research Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving
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researcher with skills in realist methodology and excellent project management to lead this review. They will also need to be able to engage in deep critical thinking to develop theoretical insights, have
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mesoscale materials modelling to carry out meso-scale simulations of Li/Na dendrite growth and mechanical stress-strain behaviour of materials in solid-state batteries, and to develop machine learning methods
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of novel electronic devices, circuits and applications. The work builds on the ALPACA - A new low-complexity paradigm for analogue computation and hardware learning research project, awarded as a
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of Streptomyces strains that use greener carbon sources. This will ultimately enable us to learn how to rationally design of strains for greener manufacturing and make this strategy broadly applicable to other