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Start date: November 2025 This PhD is an exciting opportunity to expand knowledge and understanding in the applications of natural chitinous polymers for bacterial/viral prevention and biofilm
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To apply for this PhD opportunity please complete the application form using the 'Apply' button above. For further information please contact: Name: Mr Angelos Plastropoulos Email: a.plastropoulos
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Vacancies PhD Position: Advancing Kinematic Couplings for Precision Alignment Applications Key takeaways The challenge This PhD research focuses on the advanced design and analysis of kinematic
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for their projects. AI transformation processes in projects and organizations Ethical considerations of using AI in project planning and delivery The use of project data analytics in AI-driven decision-making Machine
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languages such as Python for data analysis and simulations. Experience with optical systems, astronomical observations, or satellite tracking would be advantageous, although not compulsory. Strong analytical
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modeling, optimization, and/or data analytics. Description of the PhD topic (subproject C1 - New metrics for transportation system appraisal): Transportation systems must deliver “function” (i.e
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PhD candidates will be jointly responsible for designing and setting up the studies, recruiting participants, acquiring and analysing data, and publishing the results in peer-reviewed journals. You will
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Engineering, Computer Science, Operations Research, or Economics Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions Clear communicators in a fast-paced and
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | about 2 months ago
This project not only addresses critical analytical challenges in chemical biodegradation and has significant industrial impact but also provides a comprehensive training experience for the PhD researcher
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and career advancement across the globe. DDLS industrial PhD position We are announcing the position of Data-driven life science (DDLS) PhD student in data driven cell and molecular biology. This is an