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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
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enrolled in the thesis year of an MA or MSc or other masters programme in the School of Environment. A $4,000 Award for a Māori student enrolled in a Masters or PhD programme in the School of Environment