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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | about 1 month ago
, further exploring the carbon-related impact of polymer breakdown. The project will also incorporate artificial intelligence (AI) and machine learning to optimise degradation processes and data analysis
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achieve automated data driven optimization (in terms of time and quality) of polishing process parameters by application of machine learning algorithms, leading to a robust, repeatable and fast polishing
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skills and knowledge while contributing to a more sustainable future through tomorrow’s manufacturing technologies. Information about the department The main competences at the Department of Industrial and
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. However, as membrane-bound proteins, these receptors are extremely challenging to study using conventional analytical approaches. In this project, you will apply cutting-edge nuclear magnetic resonance (NMR
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the areas of innovation management, the creation and growth of technology-intensive organisations, business analytics, and entrepreneurship. The research undertaken at the UCL School of Management has been
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Job Description The Department of Civil and Mechanical Engineering of the Technical University of Denmark (DTU) has an open PhD position on the topic of “Automation of tool wear measurement and data
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prototypes, conducting laboratory and field evaluations, and analyzing experimental data. The role also involves preparing technical documentation and contributing to scientific publications. Organizational
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experimental data. The role also involves preparing technical documentation and contributing to scientific publications. Organizational Status This position reports directly to Dr. Taghipour. This position will
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. The ideal candidate will possess strong statistical and analytical skills (as mentioned above) and excellent English communication abilities. He/she should also demonstrate the ability to assess datasets, use
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-viral gene delivery methods. Data Analysis and Interpretation: Rigorously analyze experimental data, interpret results, and present findings to internal research teams and at scientific conferences