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by consolidating state-of-the-art empirical work, establishing a comprehensive dataset, and developing theoretical frameworks to better understand and respond to gender-related violence. What you will
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to: Be trained to work on the collaborative PLAY study. Work on coding and collating the dataset including coding using the R program language for data cleaning and analysis. Organize lab meetings and
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work. A model is to be developed to estimate the material mass breakdown for various cell designs and cell formats. The model will be validated from teardown analysis of commercial lithium-ion battery
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recruiting and testing participants for a grant funded study looking at learning in monolingual and bilingual young children. The RA will be trained to run eye-tracking and memory flexibility, studies, and
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significantly reduce the amount of vibration data to be stored on edge devices or sent to the clouds. Hence, this project's results will have a high impact on reducing the hardware installation and operation
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online coaching programme that leverages digital health technologies as part of a novel intervention that can be easily accessed by a wide audience. This will be compared with access to community dietetic
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. Ability to work independently and as part of a multidisciplinary team. Core skills include: Proficiency in data analysis and interpretation. Familiarity with research methodologies and clinical guidelines
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition
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-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security
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part of the Cumbria Connect project , which is funded by the Endangered Landscapes and Seascapes Programme . Cumbria Connect aims to restore 33,000 ha of the English upland landscape through a