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of Paediatrics at the University of Oxford. The goal of our research is to understand the information that shapes the complex physical architecture of the heart wall, and how it can be disrupted to produce
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/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial Intelligence, or a related discipline from a strong institution. Skills
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. Must have experience with analysis of sequencing data (RNA-seq, CUT&RUN, etc) and/or sufficient computation background to learn these analyses. Must have a strong publication history supporting potential
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context
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. Teaching and research experience in Health Economics / Econometrics are highly desirable. Experience in quantitative data and statistical analyses (preferably with health-economic data) with modelling
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phases are as follows: Phase 1 – Literature reviews and research writing. Phase 2 – Survey and experiment design, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis
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The job information is shown below. Please click on the links to see full details. We are seeking a Research Fellow to contribute to an exciting research project funded by Bristol & Weston Hospital
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PhD Research Fellow in Education: Learning, Readning, and Assessment in the Context of Generative AI
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description of past research and future interests, and why you are interested in the Morad Lab (1 page max) A curriculum vitae Contact information for minimum 2 references Contact Information Viktoriia Morad
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will join a large team and assist with various aspects of research, including: (1) participant recruitment; (2) data collection; (3) data entry and data annotation; (4) project management; and (5