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offers an excellent opportunity for a motivated candidate interested in animal welfare, human–animal interactions and applied research with direct policy and practice relevance. View All Vacancies
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interact in high-stakes contexts. You will help define how AI can support—not replace—human judgment, ensuring that technology empowers rather than undermines trust and autonomy. You will be part of
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research is conducted on wild species, agricultural crops, forest trees, bioenergy crops, and model organisms. Our main research areas include genome analysis, the interactions between plants and
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, and chromatography; +Characterizing ionochars using FTIR, NMR, microscopy, gas sorption volumetry, XPS, and calorimetry; +Investigating interactions between ionochars and PFAS by calorimetry; +Actively
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or international meetings and interact with industrial project partners. For further details, and to apply, please contact Dr. Michael James with a CV: michael.james@manchester.ac.uk For more information about the
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, the interactions between plants and microorganisms, and other forms of stress such as plant growth and development, biotechnology and metabolic manipulation, regulation of gene expression, population genetics, and
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‑covalent interaction between Lewis acidic chalcogen‑containing molecules (S, Se, Te) and Lewis bases. Its growing use in catalysis stems from the expectation that chalcogen bonding can offer orthogonal
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faculties. The candidate will help integrate BuddhAi into real teaching contexts involving students across several cohorts. This includes conducting empirical studies on student–AI interaction, shaping
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on the effects of the Courseulles-sur-Mer wind farm. We then extended the study to understand the dynamics of interactions between wind farms in the eastern Channel and southern North Sea region. This area is
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and drug–excipient interactions that determine formulation stability and performance. The research will employ atomistic molecular modeling grounded in statistical mechanics to investigate binding