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formulations processable by Direct Ink Writing, with particular focus on the design of materials and processes for the fabrication of reversible systems and assemblies. The polymers and composites will be
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prepare the postgrad student to design, execute, and interpret experiments to set them up for success in future independent research. This is an ideal position for someone looking to apply to PhD or MD/PhD
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
Sciences Work Location Woodward Hall Vacancy Open To All Candidates Position Designation Non-Student Temporary Employment Type Temporary - Full-time Hours per week Up to 10 hours per week depending
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responsible for: (i) designing empirical protocols to collect behavioural data from children, adults, and non-human primates; (ii) conducting experiments and collecting data from these populations, in school
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the chosen asset library. Graphic Design: Basic graphic design skills are helpful. Ability to use Canva to create small graphics, for use on social media. Required Qualifications Experience with social media
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engineering/electronics/sustainable engineering area) or industrial background. The key is having good hands-on experience in sustainable design and implementation, or the enthusiasm to pick up new skills. You
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. Computational experiments will guide compound design, synthesis, and biological evaluation, including the assessment of bioactivity, mechanisms of action, medicinal chemistry properties, and metabolism. The work
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completion of the implementation of functionalities and aspects with impact on the industrial design of high-power collector and step-up transformers for renewable energy generation plants. Interpretation
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postgraduate course(s) in the following courses: AIDM7900 Agentic AI in Digital Media - This course equips students to design, build, evaluate, and govern agentic AI systems for digital communication and media
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modelling; experience in designing parts and assemblies for complex engineering products; understanding of large-assembly modelling principles and external reference management; experience with both solid and