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archival analysis, the successful candidate will undertake an original, rigorously researched study of the slavery/war nexus in one or more conflicts or theatres during this period, contributing to
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(including “The Other Kind of Doctor” podcast and blog), annual conference, and opportunities to connect and engage with PGRs outside your main discipline. Details of the Award Funding is available for 3 full
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Associate and Assistant: A recognised first class masters degree (or equivalent) in Aerospace, Mechanical Engineering or a closely related discipline In addition: Experience in computational mechanics
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-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Your degree should be in a relevant field, such as: Cognitive Science
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requirements The candidate should have a first or upper second-class BEng and MEng (or equivalent, or higher) degree in Computer Science or a related discipline. They should demonstrate aptitude for original
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motivated candidate with a first degree and Master's qualification in a health or behavioural science discipline, eligible to register as a home PhD student. You will have experience in planning and/or
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
activities (including “The Other Kind of Doctor” podcast and blog), annual conference, and opportunities to connect and engage with PGRs outside your main discipline. Details of the award: The studentship
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with opportunities for advanced economics training in the first year. During the four years of the programme, students engage in independent research work that produces an original contribution
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of histology, immunolabelling and microscopy Experience of cell culture (continuous and/or primary) Experience of basic molecular biology techniques (WB, qPCR etc.) Experience with bioinformatics 6. Experience
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. This role is ideal for candidates planning to apply to top PhD programmes and looking for hands-on research experience with original data construction and applied causal inference on high-impact questions in