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candidate for a 3-year, fully-funded PhD project. In this research programme, the PhD student will apply state-of-the-art synthetic biology and genome and metabolic engineering to enable environmental
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requirements for admission to the faculty's Doctoral Programme You must have strong experimental background in synthesis and functionalization of nanoparticles via bottom-up approaches or synthesis and
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a groundbreaking £6 million EPSRC Programme Grant to reduce the soaring energy demands of artificial intelligence . The computational team will work in collaboration with many partners in academia and
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research program that brings together physics, chemistry, and machine learning. Your research tasks will include: Uncertainty Estimation in Deep Neural Networks for MLFFs Implement and test uncertainty-aware
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research and supervision Yes Research training / discussion Yes Support for international students and doctoral candidates Welcome event Accompanying programme Visa matters List of doctoral programmes and
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order to better understand, plan and assess different types of market interventions to achieve energy efficiency – see this research program including also Dr James McGregor (CSIRO); Dr Aneta Podkalicka
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fees for the period of the relevant programme as outlined in the offer letter (usually three years). CSC will provide living allowances as prescribed by the Chinese Government, and will cover the round
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- Knowledge of programming (Fortran, Python) - Previous experience with SIESTA will be a plus but it is not essential. - Previous experience with user-level High Performance Computing will be a plus but it is
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auroral observatory, the Kjell Henriksen Observatory. About the position The position is affiliated with the national research program Arctic Ocean 2050 . In the Arctic Ocean (AO), exchanges of heat, salt
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have at least 2:1 degree in a relevant field. Applicants with the prior knowledge and experience in one or more of the following fields are encouraged to apply: computer programming (any programming