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language processing, large language models, machine learning, network analysis, social media analytics, and large-scale analysis of online discourse and communities. This PhD scholarship will be based within
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related policy/business discipline. Have familiarity with empirical research methods, experimental design, or technical modelling relevant to your field. Having a demonstrated publication record or
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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five‑year collaboration integrating materials growth, advanced microscopy and spectroscopy, nanoelectronic device fabrication, and machine‑learning‑accelerated modelling. As a member of my group, you
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training. SHU-26024 - Crowdfunding Investment Decision Modeling in Green Energy-Powered Cold Supply Chains Primary supervisor: Dr Ashkan Hafez Alkotob Other supervisors: Dr Yasanur Kayikci (SHU), Dr Timothy
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models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term