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problems and new ideas in the fields of agribusiness, agriculture, food innovation and supply chains. Our intent is that this scholarship will support the generation of new knowledge and new ways of thinking
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video (eg, Adobe Premiere, Adobe Audition, Audacity), and knowledge on illustration and design tools; 2) 3D modulation programs (eg, 3DsMax, Autodesk Maya, Blender); 3) Basic knowledge on bacterial cell
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of grant, consecutive or interpolated. Preferences Requirements: Preference for candidates with knowledge and competencies on: : 1) Culture and Identification of Erwinia amylovora; 2) Knowledge plant
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of grant, consecutive or interpolated. Preferences Requirements: Preference for candidates with knowledge and competencies on: : 1) Culture and Identification of Erwinia amylovora; 2) Knowledge on microbial
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attending an academic Bachelor’s degree in the scientific field mentioned above. Knowledge or experience (preferred) on machine learning or computer vision techniques, and interest in developing such skills
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through education, capacity building, and knowledge exchange. Eligibility and Conditions In addition to country-specific eligibility requirements, applicants must meet general eligibility requirements
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. Clear and sensitive communication skills, both written and oral. Experience in interdisciplinary research involving social and digital data. Advanced knowledge of applied statistics and social data
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degree programme or a non-degree course (eliminatory factor). b) Applicants must have knowledge of database creation, processing and analysis; knowledge and/or previous experience in the use
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of excellence in teaching and scholarship/knowledge exchange in gross anatomy with experience of teaching embryology and histology. The successful candidate will be expected to develop innovative
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-time enrolment in a PhD or named Doctorate at the University of Auckland. An Award of up to $16,000 to support women doctoral students to make substantial progress towards completion of a PhD or named