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a strong background in one or more of the following areas: nonlinear (Lyapunov-based) analysis tools, software skills with Matlab or Python, and strong writing skills. Special Instructions
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skills. - Ability to work independently in outdoor field conditions and travel regionally as needed. Preferred Qualifications: - Experience in experimental design, QTL mapping, and statistical software
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, including vulnerable groups. Basic proficiency in qualitative data analysis software (e.g., NVivo, Atlas.ti, or similar) is desirable, though training can be provided. Strong written and verbal communication
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• Skilled in prototyping and experimental investigations for marine vehicles • Skilled in using mainstream CFD and autonomous system softwares (e.g. Star-CCM+, OpenFoam) • Research experience in
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programming (Matlab and/or IgorPro). Experience using and programming ImageJ or another image analysis software. Molecular biology and/or experience with the use of viral vectors is a plus. Online Application
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part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both research students and staff, providing a
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comprehensive analysis of the extensive Pulse dataset, uncovering latent patterns and taxonomies that define building leakage characteristics. Surrogate Model Development: You will develop data-driven surrogate
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organizations, interacting with landowners, maintaining an Agroforestry network, and training and coordinating a team of Agroforestry Ambassadors to assist with promoting Agroforestry education and adoption
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profile). The research plans attached to the applications may be checked with the Turnitin OriginalityCheck plagiarism detection software in accordance with the University of Turku quality assurance system
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microbiomes, host transcriptomics, and metabolomics to define OAB phenotypes using samples from large human cohort studies. · Community Engagement and Advocacy: Additional efforts include promoting evidence