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processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific
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team. You are not only collecting data, you are helping shape the future of care for women with rheumatic diseases.” Where to apply Website https://www.academictransfer.com/en/jobs/362834/phd-candidate
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Description Do you want to develop sustainable energy storage solutions for the future? Do you want to use your curiosity, technical knowledge, and enthusiasm to contribute to the UN sustainability goals and
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their structure and electrochemical performance, and using this knowledge to engineer application-relevant devices? We are seeking for a curious, self-driven doctoral researcher to develop active, durable, and cost
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academics and PhD researchers, it pioneers innovative craniofacial projects in forensic identification and digital heritage, advancing interdisciplinary research and knowledge exchange in heritage, arts
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independent research while supporting ongoing projects in areas including, but not limited to, clinical and translational psychiatry, neuroscience, genetics and genomics, neuroimaging, behavioral and cognitive
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should also have a good knowledge of materials science and experimental characterization techniques. Experience with ceramic materials will be appreciated. Excellent written and spoken English skills
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process knowledge into modern AI tools. The research offers the opportunity to explore neural network architectures, tabular transformers or Bayes methods to include process-information into machine
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, or PhD student. Good research skills (knowledge of databases both social science and possible legal databases). Ability to synthesize and read articles, proofread, find sources, and write succinctly. Be
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and closing date: 30th September 2026 Applicants should submit through the Abertay University jobs page https://www.abertay.ac.uk/about/working-at-abertay/jobs/, submitting a personal statement of