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A PhD Thesis on “Magnetic and electronic properties of doped tetragonal CuO films” was funded through the "Research Initiatives in Grenoble Alpes" program (IRGA) of the University Grenoble Alpes and
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PhD Studentship: Centre for Doctoral Training in Composite Materials, Sustainability and Manufacture
View All Vacancies Engineering Location: UK Other Closing Date: Thursday 26 September 2024 Reference: ENG185 Award: PhD Duration: 4 years Department: Mechanical, Materials and Manufacturing
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(FNR) and local industries, and international research projects funded by the EU FP7 programme, H2020 programme and the European Space Agency (ESA). For further information, you may check
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PhD Studentship provides a brilliant opportunity to be part of that programme of research and innovation. CoSTAR is the convergent screen technologies and performance in real-time programme which is
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Honours or 2:1 bachelors or masters degree in Computer Science, Mathematics, Engineering or related areas. Experience and/or a high interest in cyber security, AI and ML is a strong requirement. We welcome
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) and research costs) three-year full-time PhD available to start on the 1st October 2024. The overall theme of this PhD programme is enhancing the physiological resilience of older adults, with a
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Irène Curie Fellowship No Department(s) Mechanical Engineering Reference number V35.7571 Job description Computational fluid dynamics is a vital tool for scientific research and addressing
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control, applied mathematics, mechanical engineering, electrical engineering, robotics, computer science, or a related field, and a strong background or interest in human-robot interaction, optimization
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PhD Studentship: Centre for Doctoral Training in Composite Materials, Sustainability and Manufacture
View All Vacancies Engineering Location: UK Other Closing Date: Thursday 26 September 2024 Reference: ENG184 Award: PhD Duration: 4 years Department: Mechanical, Materials and Manufacturing
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techniques and/or multimodal learning to enhance the monitoring and scoring ability of AI models in agriculture. Qualifications: Required: Master’s degree in agricultural engineering, computer science