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increasingly important and pressing due to the rapid growth of offshore renewable energy as a critical part of the UK’s ambitious plan to achieve net-zero greenhouse gas emissions by 2050. These extreme waves
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. The PhD project is part of an interdisciplinary collaboration with the University of Bayreuth (EASI lab, led by Prof. Dr. Lisa Hülsmann). Main responsibilities include joint field work to establish an in
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
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good pension plan. We also give you plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes. We are You will
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for the Endorsed Funder Route of the Global Talent Visa. We can provide an interest free loan scheme to support applicants who need to apply for a visa. Please contact Prof Yujiang Wang yujiang.wang@newcastle.ac.uk
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, or Australian Permanent Resident Be an Australian or New Zealand citizen, or Australian Permanent Resident Contact with one of the project chief Investors: Dr. Ke Deng - ke.deng@rmit.edu.au A/Prof. Yongli Ren
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Applications are sought for a fully-funded 42 month PhD studentship to work with Dr Rachel Nicks and Prof Stephen Coombes on the project: White Matter Computation: Utilising axonal delays to sculpt
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the Excellence Engineer Education and Training Program. It has outstanding advantageous disciplines. Among them, the specialty of Electrical Machinery ranks high in China, and multiple disciplines
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programming background with expierence in using Python, matlab, and/or Java, etc. a good command of German and English, both for teaching and for the preparation of research proposals and publications process
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) Limited contract until: 06/30/2028 Job ID: 4000 Your personal sphere of influence: We plan to investigate the slow dynamics emerging in solutions of short and stiff circular polyelectrolytes with varying