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Scholarship Opportunity This is an opportunity to undertake a fully funded masters’ degree and an interdisciplinary PhD under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme
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Scholarship Opportunity This is an opportunity to undertake a fully funded masters’ degree and an interdisciplinary PhD under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme
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Law, Tort Law and Public Law. Medical Law teaching includes weekend teaching on the Legal Aspects of Medical Practice Masters’ programme. The post holders may also supervise undergraduate and
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available in the further tabs (e.g. “Application requirements”). Programme Description SECAI scholarships were created to support outstanding students who intend to study AI or a related field at TU Dresden
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) for Enrollment Management, the incumbent is the primary fundraiser for the Division and will develop and execute the fundraising program to fulfill the financial needs as identified by the ExD and VP. Additionally
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available in the further tabs (e.g. “Application requirements”). Programme Description This scholarship was created to enable for more qualified female engineering students to pursue a Master’s degree
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exhaustive, additional non-essential tasks and responsibilities may be assigned as needed. What You Will Bring: Required: ALA-Accredited Masters Degree in Library or Information Science Knowledge Areas and
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in Australia, or international placement in a Primary school setting. For successful recipients, funding provided will be a contribution towards the cost of the program, rather that covering the cost
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PhD Studentship: Hydro-geomorphic Impacts of the Return of the Beaver, Fully-funded MSc by Research.
to calibrate national datasets built through 2 (field and computer-based, months 12-18). Publish a paper describing the extent to which beavers change hydrology and geomorphology (desk-based, months 18-24
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with