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your professional network. You will also have opportunities to present your work at leading conferences, engage in international collaborations, and develop a strong professional profile in computational
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of our green campus! We will recruit for the vacancy ourselves and do not appreciate unasked for services from recruitment agencies. However, sharing in your network is appreciated.
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
support UK industry to reach net zero. Alongside their research, our PhD researchers gain valuable training in how to apply their research within the wider industrial system, including opportunities
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international networks that are useful for this position; Article 9 certified (legal qualified to perform animal experiments) is a plus; Experience in analytical chemistry, ISO17025, statistics and data analysis
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rate (£20,780 for 2025/26) and tuition fees will be paid. With the UK and global ambitions to achieve carbon net-zero by mid of the 21st century, carbon footprint (CF) management has become increasingly
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networks using common Python-ML libraries such as PyTorch preferably also background knowledge in computational mechanics and applied mathematics highly proficient in spoken and written English We offer you
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involved in teaching at under/postgraduate level as well as funding acquisition and (global) outreach, if desired. International networking and collaborations are regarded as an integral part of the PhD
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and develop advanced cryogenic power electronics solutions for key net-zero applications such as all-electric aviation and wind energy. This fully-funded PhD project will provide the opportunity
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Academies of Science Engineering and Medicine Workshops. Selected candidates will have the opportunity to train for publishing in leading biomedical journals and machine learning conferences, networking with
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for: computers able to process information more like the brain, studying how to reproduce some of the properties of biological neurons and synapses using networks of molecules and nanostructures, and other