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prefer to receive applications online via the Durham University Vacancies Site. https://www.dur.ac.uk/jobs/. As part of the application process, you should provide details of 3 (preferably academic
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tenure-track positions at research universities. Responsibilities include conducting a vigorous program of innovative research, interacting and collaborating with graduate students and postdoctoral
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bleeding-edge scientific laboratory and welcome the challenge of serving as a steady consistent imaging and computational scientist role in a fast-paced environment. Those who will thrive in the role
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
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, Tribolium, Xenopus, mice, yeast, maize, Ceratopteris, and others. The Department of Biology has both PhD and MS programs, and also recruits PhD students from the NIH T32 Interdisciplinary Program in Genetics
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postdoctoral Research Fellow in Mass Spectrometry to undertake research as part of the Wellcome-funded project “Transforming spatial and structural biology: Native ambient mass spectrometry”. The postholder will
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://www.hw.ac.uk/uk/services/equality-diversity.htm and also our award-winning work in Disability Inclusive Science Careers https://disc.hw.ac.uk/ . Use our total rewards calculator: https://www.hw.ac.uk/about
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science, computer science, computer engineering, electrical engineering, and optical engineering, and frequently collaborates with partners in industry, academia, and other government organizations
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
. * Genomics and bioinformatics analysis. * Live imaging. * Advanced molecular biology methods. Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services
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earth and environmental science, social science, modeling and computation. We seek candidates who will exploit emerging datasets to advance environmental and Earth system modeling, forecasting, and