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About Us A 3-year PhD fellowship is available at the School of Life Course & Population Health Sciences at King's College London, under the supervision of Professor Seeromanie Harding. Based
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soon as a suitable candidate has been found. Position description The Research Council of Finland funded PhD project aims to discover how inflammatory conditions and ageing affect the function and
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and doctoral programs. The CDS program is dedicated to preparing students to understand, assess, and treat individuals across diverse ethnic, cultural, linguistic, social and economic backgrounds
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
department in 1964. We believe that computer science’s greatest purpose is in working with other scientists to solve problems in their own disciplines. Therefore, we actively seek opportunities to generate new
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of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment
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process. About you For this post, candidates with experience in the intersection of Control Engineering, mathematical modelling and Engineering Biology are being sought. The successful candidate will work
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be offered a fixed term contract for 18 months. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria *PhD awarded
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| University of Colorado (cu.edu) · benefits guide cover-post-doc-2024 (cu.edu) Qualifications: Minimum Qualifications: · PhD in Immunology, Cancer Biology, Molecular Biology, Cell Biology, or a
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human health intervention, we are now recruiting a highly qualified Postdoctoral Research Associate with solid medical and health research backgrounds. Position Overview We seek a PhD holder with a strong
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on investigating, analyzing and writing up projects related to building a program for speech-based monitoring of neurodegeneration using behavioural and neuroimaging datasets combined with machine learning