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, mathematics and computer science. We are specifically looking for candidates with a strong background in transport emissions and data analysis. The ideal candidate will have a working knowledge of programming
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academic writing. Ability to engage with numerical, statistical, and mathematical procedures (e.g., Signal Detection measures). Effective interpersonal and communication skills. Involvement in outreach
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The Bartlett lab is searching for two Research Associates/Assistants to join our team. The Bartlett Lab studies the developmental and evolutionary processes underpinning plant morphological diversity. We work to identify the genes that regulate plant development, describe the evolutionary...
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geothermal energy extraction. Person requirements. We are looking for a highly motivated individual with a first class or upper second-class degree in engineering, physics, applied mathematics or a related
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quantum theory and mathematics. Ideally, you should have experience with the usual tools of quantum information (e.g. tensor network calculus, quantum communication protocols, quantum tomography protocols
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, energy and biomedical engineering). Flexible start date! What You’ll Need A first-class or upper second-class honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in
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performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling
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; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering Society (WES) and Working
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with 65% average), or international equivalent, in Engineering, Computer Science, Physics or Mathematics with evidence of programming experience. Applications should be made through the RAINZ CDT website
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science, engineering, mathematics, or related subject) Proficiency in English (both oral and written) Essential to have strong foundations in computer systems through degree courses or equivalent work experience