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Technology, Computer Science, Artificial Intelligence, Data Science, Robotics or any other relevant field, at the time of admission into this PhD program. Students currently enrolled in Master’s programs can apply, provided
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contribute to the strategic program Polhavet 2050 . Duties of the position Complete the doctoral education until obtaining a doctorate Carry out high-quality research within the framework described above
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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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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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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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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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Project Overview This is an opportunity to conduct fully funded interdisciplinary research under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex
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, delivering greater performance, functionality, and reliability. This demands the adoption of faster switching wide bandgap devices and greater system integration. About This PhD This PhD programme is part of a
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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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in the mandatory PhD research education program Conduct independent research and publish the result in recognised scientific journals and present them at international conferences Participate in