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Theoretical Quantum Materials We invite applications for a PhD position in theory of quantum materials at Aalto University, Department of Applied Physics. The position is part of the FUN-VAN Research Council
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Scholarship website for details. Specified use Funded by the UK Department for Education (DfE), Commonwealth PhD Scholarships for high-income countries support research that will have impact in a field relating
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the award of two fully funded PhD scholarships for students residing in the UK who are eligible for home fees and who identify as being black-heritage (encompassing African, Caribbean, and black-mixed
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the award of fully funded PhD scholarship for students residing in the UK who are eligible for home fees and who identify as being black-heritage (encompassing African, Caribbean, and black-mixed heritage
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Funded PhD Studentships at the EPSRC Centre for Doctoral Training (CDT) in Offshore Wind Energy Sustainability and Resilience EPSRC Centre for Doctoral Training Funding Available Students Worldwide
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dissertation supervision. For this T&S role, you must have a PhD in a relevant subject (or a PhD near completion – i.e. strictly within three months of submission), and a strong scholarly profile or trajectory
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problem-solving skills and deep expertise in the development of complex computational models. Candidates who have not yet acquired their PhD would be appointed at the Research Assistant level. The
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
optoelectronics, light emission, optical sensing and quantum communications. This is an ambitious research program, with a strong interdisciplinary nature, across photonics, plasmonics, device physics, electrical
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Partnership in collaboration with Hitachi Europe Ltd, developing engineered proteins for carbon upcycling and sustainability. The role holder will collaborate with computational and biological scientists
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens