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Field
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Network (DIN) project to conduct underwater trial using a sovereign quantum vector magnetometer. The objective of the project is to use the gathered survey data to explore advanced platform compensation
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applicants based elsewhere within the UK. Description of Duties Leading on most elements of research design (e.g. developing a survey and interview questions) Qualitative and quantitative data collection
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preventing the primary causes of low birth weight. The successful candidate will support the delivery of impactful health service research through stakeholder engagement, research coordination, data
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soil field-sampling programs and working with physical, chemical or biological soil laboratory data. strong skills in GIS, spatial statistics, digital soil mapping, geostatistics or related
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. We are particularly interested in: machine learning for molecular and omics data, including representation learning for biological sequences and structures, and the integration of multiple omics
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who has: PhD in Economics, Mathematical Sciences, Comp u ter Science, Environmental Science (with a quantitative foc u s) or related fields; strong experience in large-scale data processing and
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country-based research teams to develop interview guides, undertake data analysis, coding, and document analysis, and contribute to the development and management of the project's dataset. The role is
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change together through cutting-edge research in digital media forensics, multimodal data correlation, artificial intelligence, and cyber-enabled trust technologies. Working alongside world-class
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forge a career path at the intersection of epidemiology, economics, data science, tobacco control and other public health interventions. You will contribute to cutting-edge tobacco control modelling
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quantitative data analysis, statistical reasoning, validation and interpretation of results. Experience with FPGA, GPU or accelerator technologies. Familiarity with high performance or embedded