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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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: • Co-facilitating focus groups with Māori older adults, healthcare professionals, and members of community organisations (e.g. ACC, Aged Concern). • Collating and reporting quantitative data
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efficiently, reliably and to a high technical standard. The primary purpose of the role is to provide skilled laboratory support across the project, generating high-quality data in molecular biology and cell
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to the QS Rankings. Further information can be found at www.kaust.edu.sa. ONLY SELECTED CANDIDATES WILL BE CONTACTED BY E-MAIL.
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. The analytical data is currently preliminary and incomplete. You will work with the unpublished dataset, identify data gaps and to carry out new analytical work needed to fully understand this magmatic system and
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computational biologists, immunologists, clinicians, and experimental scientists, you will support study design, data interpretation, and reporting, and contribute to the development of robust, reproducible
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methods. It may also include quantitative data analysis. The post-holder will take a role in all stages of this process, from conceptualisation to data collection and analysis, as well as writing up and
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory seeks an outstanding postdoctoral researcher to advance data-driven, physics-informed AI for microelectronics materials
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Posting Details Position Information Title Spring 2026 STAMPEDE Research Assistant (Non-Work Study) Position Description STAMPEDE is a cutting-edge research and education initiative focused