1,460 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" research jobs in United Kingdom
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scientific results clearly within a multidisciplinary research team. Experience working at containment level 2/3, with hard X-ray nanoprobe technology, or with data analysis tools such as R, Python, FIJI
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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risk factors in eastern Hararghe, Ethiopia. Candidates should have a postgraduate degree in demography, epidemiology or a related field and have strong quantitative or data science skills. Further, we
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a relevant field and have relevant background knowledge in omics data generation, genome engineering, 3D genome, and computational biology. This is a hybrid wetlab and computational position, and the
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hours or job-sharing arrangements, and offer flexible working arrangements. About you The successful applicant will be able to present information on research progress and outcomes, communicate complex
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diverse team of faculty members, engineers, and industry partners, including renowned researchers at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility
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of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired traits that will enable success in this fast-paced environment. Key
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we will evaluate applicants on the quality of their research, not publication metrics or the identity of the journal in which the research is published. More information is available at: Responsible
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volcanic sequences and reconstruct a model of its volcanic plumbing system architecture. You will collect mineral texture and composition data using a range of geochemical methods including SEM, EPMA and LA
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students where appropriate. Supporting the project’s innovation, impact, and commercialisation pathways under the CREWW framework. About you The successful applicant will be able to present information