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. Your skills and attributes for success: A completed PhD in a relevant social science subject (e.g. sociology, anthropology or other relevant field) Knowledge and understanding of contemporary issues in
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Mamatha Nagaraj , Prof Helen Gleeson , Prof Gordon Love , and Dr Richard Mandle and at the University of Leeds. You will have an PhD degree (or have submitted your thesis before taking up the role) and
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vitro cellular assays. Experience in using mouse disease models is also desirable. Scientific knowledge in the areas described above equivalent to PhD* level is required. The post-holder will possess
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annum pro-rata. Your skills and attributes for success: An appropriate postgraduate degree, with relevant post-graduate research experience. Normally a PhD or substantial research experience. Experience
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The successful applicant will have (or be near to completion of) a PhD in Computer Science with expertise indeep neural networks, preferably with expertise in any of the following subfields: signal processing and
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notebooks and electronic files Your profile PhD degree in physics with solid knowledge of condensed matter physics, quantum mechanics, and magnetism Expertise in X-ray based magnetic imaging or scanning probe
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. Benefits The Moulay Hicham Alaoui Postdoctoral Fellow will receive a stipend of $70,000, payable over twelve months. Basic Qualifications: Applicants must have received a PhD within the past three calendar
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Kim Postdoctoral Fellowship provides a $70,000, payable over twelve months. Basic Qualifications: Applicants must have received a PhD within the past three calendar years in a relevant social science
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government or Scottish, Welsh, or Northern Irish governments. Please note that ECRs need to have completed or be close to completion of their PhD, waiting for their final viva examination, which must be passed
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completion of their PhD, waiting for their final viva examination, which must be passed prior to taking up the award. ECRs must not have held a permanent academic post or a permanent post with a research