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the closing date for these roles, as specified above. Excellent teaching skills and relevant experience in teaching ethics; evidence of ability to engage with and teach a range of professionals including
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research impact strong ability to communicate effectively, including delivering presentations with clarity and professionalism. well-developed planning, organisation, and computer literacy skills
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We highly recommend reviewing our department website’s Faculty pages to learn more about our faculty, their labs, and their research interest before applying. Please apply through the ARIeS portal
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-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access
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across the dairy supply chain. The participant will also learn about statistical analysis of data in consultation with ARS colleagues. Learning Objectives: Under the guidance of a mentor, the participant
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(EHR), health information exchanges, and data analysis software. Experience with health IT innovation, including working with artificial intelligence, machine learning, telemedicine, or mobile health
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using both conventional breeding methods and marker assisted breeding. Learning Objectives: The participant will partner with the mentor to learn more about: Conducting phenotype trials related to maize
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analysis and collaboratively advance the development of standard operating procedures for advanced microscopy. Learning Objectives: Through this educational opportunity, the selected candidate will develop
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adoption by professional organizations such as the AOAC or Cereals & Grains (formerly AACC) would benefit The fellow will learn how to generate an instrumental method for soluble dietary fiber analysis
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identified in this way will represent targets for future gene editing to improve the rate of genetic improvement for reduced grain protein content. Learning Objectives: The candidate will learn about genetic