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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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to cover living costs; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. Learn more about the programme, available projects, and the application
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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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- 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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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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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
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of 5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How
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and NTNU is at the same time an application for admission to a PhD program at the institutions. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as
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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