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solutions to the inclusion and net zero challenges facing twenty first century urban mobility. The ideal candidate will have: Demonstration of at least one of the following PhD in a relevant field (e.g
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of dynamic operation, which is essential for effective system-level integration. The technology should have a high and stable electrochemical performance. Furthermore, mechanical robustness is a challenge
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existing therapies. About You This project would be suitable for an individual with a PhD in immunology, cell biology, metabolism or related area. Candidates should have expertise in a range of cell biology
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for Students”. All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be
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the successful candidate. We are looking for a candidate who has: A PhD in law or a related field. Prior knowledge of and an interest in human rights law, climate change and environmental law. Ambition to develop
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expected to research the most suitable data for describing roadside areas, study their availability and/or acquisition methods, and then process this data. Preferred sites will be identified prior
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close to the completion of a relevant PhD/DPhil in statistical genetics or related field. A proven track record of method development in statistical genetic and the ability to manage your own academic
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. The post holder will form part of a lab of cognitive neuroscientists at the MRC CBU developing neuroscientific methods to better understand and treat neuropsychiatric disorders. The current major focus
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Desired level of education : PhD in physics or related fields Experience required : PhD and/or postdoc experience in one or more of the following areas: theoretical quantum optics, theoretical atomic and
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of the extraction and beneficiation system. This work will require an understanding of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict