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annum Research Assistant in AI-Based Aerospace System Design and Optimization We welcome applications from prospective Research Assistants in AI-Based Aerospace System Design and Optimization with
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University of Edinburgh who are working to understand insulin resistance and design new therapeutic strategies to treat monogenic forms of diabetes. The successful candidate is likely to be an energetic
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As a Researcher Developer (PGR), you¿ll have an exciting opportunity to contribute to the design and delivery of an innovative PGR development portfolio. You¿ll be at the heart of the University¿s
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approach. We thrive on teamwork, leveraging each other's strengths to tackle complex issues from multiple angles. Whether it's designing sophisticated economic models, crafting sustainable finance strategies
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You You will be educated to M.Sc. level and have experience and expertise in aerospace system design, data analysis and ML/AI model implementation. Your expertise should demonstrate a track record of
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in aerospace system design, data analysis and ML/AI model implementation. Your expertise should demonstrate a track record of publications in the design, development, and programming of AI-based
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Location: Animal and Grassland Research and Innovation Centre, Teagasc, Athenry, Co Galway, H65 R718; or another Teagasc Research Centre may be considered in Moorepark, Cork or Ashtown, Dublin Job
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teaching that is accessible, and practice orientated. Department research includes projects on sustainability, technology innovation and operational improvement. Research funding has been awarded by both
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on themes of Innovation and Entrepreneurship, especially with regards to migrant and social enterprises. The second theme is led by Professor Kate Sang based around the long-standing research centre in Work
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, though complementary and following the Institute strategic plan, also have Centre-specific objectives and requirements. About Queen Mary At Queen Mary University of London, we believe that a diversity of