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approaches to analysing LiDAR and vision data in forest imaging and remote sensing. The role is part of a three-year project with SCION in New Zealand bringing together researchers in robotic perception
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research / scholarly activities as part of a multidisciplinary research team experience managing large volumes of multi-modality data and a demonstrated track record of supporting high quality academic
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based assays demonstrated skills in data management of large patient cohorts experience in academic publications and writing funding grants for research desired skills in applying advanced statistical
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-Contrast Tomography to transform cancer diagnosis’ (IMPACT). We are looking for an outstanding and motivated researcher to design and conduct research projects (from protocol development and data collection
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sequencing and big data analysis. This Postdoctoral Research-focused academic at Level A is expected to apply and develop their expertise in conducting research. They will conduct research and/or scholarly
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: Analyse and publish data from a large clinical SLP data-base (year 1) conduct a Delphi process to establish what data should be collected to create a national laryngeal disorders database in ENT/SLP.(year 2
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demonstrated experience in data preparation, data management, and analysis of large, population-based linked administrative health datasets ability to work in a multidisciplinary academic team, and independently
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adaptation, and social-ecological linkages (michelelbarnes.com) Your key responsibilities will be to: Design and manage a large, longitudinal database of existing social and ecological data, including data
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, alongside undertaking large-scale, and mixed-methods, data analysis. The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see
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working with Stata (desirable) Experience in analysis of large complex data sets (e.g., longitudinal cohorts data, linked national data) Demonstrated accuracy, attention to detail and highly organised, with