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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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data, you will develop an AI-driven optimisation framework to identify where such interventions can deliver the greatest combined benefits for people and the environment. The research combines urban
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profound interest in inorganic chemistry, both in experimental and modelling applications. We are looking for candidates who are also interested in the analytical and numerical aspects of the work
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this, we will combine bacterial and phage genomics with clinical data, perform qPCR expression assays and assess prophage mobilisation potential in the laboratory. This will help inform public health
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the life cycle of its products. Existing practices often overlook indirect (Scope 3) emissions and fail to integrate real-time data analytics or life cycle assessments for decision-making. Therefore
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Application deadline: All year round Research theme: Department of Chemical Engineering; research theme: advanced functional materials and analytical science How to apply: https://uom.link/pgr-apply
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, analytical chemistry and enzymology. Working in an enthusiastic and supportive team the student will become expert in state-of-the-art (bio)chemistry, biophysics and photocatalysis. They will also expand
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supply chains. Research Methodology & Training This project will explore the use of advanced analytical methodologies for detecting and identifying chemical and isotopic markers linked to deforestation in
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synthesized using well-established synthetic organic chemistry and polymer chemistry techniques. The novel materials will be fully characterized using standard and advanced analytical techniques including NMR
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their anticancer and neuroprotective activities in human cell-based assays. Generate SAR data linking specific enzymatic modifications to pharmacological properties. This PhD project offers extensive research