1,863 linked-data-"https:"-"https:"-"https:"-"Stanford-University" Fellowship positions
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use the data to inform and amend the recruitment strategy as required. The postholder will also conduct interviews with participants after the prosthesis is fitted to understand engagement and
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and data pipelines to enable real-time data acquisition and closed-loop control. Collaborate with AI researchers to implement machine learning models for adaptive experimental design and autonomous
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
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methods. Independently evaluate research data and initiate alternative approaches to improve the quality of results by providing input to overall research design that maximizes samples or refines the use
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, Philippines, for more than 40 years. Recently generated genome-wide methylation data will be used to explore a range of questions, with topical focus flexible. Duties will involve helping coordinate a weekly
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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(CEDRN). This role will focus on developing and piloting ED-based surveillance methods, generating high-quality data to inform public health decision-making, and advancing national capacity for future
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interpretation of experimental data; Teamworking experience; Publication record commensurate with career stage. Demonstrate proficiency with data analysis tools (e.g., Python/Matlab/Origin). Have the ability
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the Lymphovascular Research group collaborating with computational, clinical and laboratory scientists. The post holder will support the group by analysing genomic data to identify and characterise genes underlying
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excited by methodological innovation and real‑world impact. You will hold a PhD in a quantitative discipline such as infectious disease modelling, statistics, mathematical epidemiology, data science, or a