research, writing, networking and broadcasting, etc. E-mail your CV to kevinduj.ac.za
research, writing, networking and broadcasting, etc. E-mail your CV to kevinduj.ac.za
interpersonal skills.
- Understanding of local E&S regulations and social context.
Preferred
/>Work Experience
- 10 years in E&S roles in agriculture/processing.
- Experience
MUST Deep Learning research group performs basic and applied research in machine learning, with an emphasis emphasis on the theory and application of deep learning. Our theoretical work studies the generalisation generalisation ability and interpretability of deep learning models from novel perspectives. Our application domains prediction, to industrial applications of deep learning. MUST is a student-centred environment where researchers Research (CAIR), and the coordinator of the machine learning research programme of The National Institute for
MUST Deep Learning research group performs basic and applied research in machine learning, with an emphasis emphasis on the theory and application of deep learning. Our theoretical work studies the generalisation generalisation ability and interpretability of deep learning models from novel perspectives. Our application domains prediction, to industrial applications of deep learning. MUST is a student-centred environment where researchers Research (CAIR), and the coordinator of the machine learning research programme of The National Institute for
processes Support coaches and teams in continuous learning and improvement to increase and improve PrEP initiation Collaborate with key stakeholders to leverage learning sessions at the national and regional levels (through experiences (supported by monitoring data) and to learn about best practices and how they can be replicated initiatives. Ensure data collection, analysis, learning and knowledge management from the Collaborative run charts) Coordinate and participate with M&E staff for indicator development, data collection activities
processes Support coaches and teams in continuous learning and improvement to increase and improve PrEP initiation Collaborate with key stakeholders to leverage learning sessions at the national and regional levels (through experiences (supported by monitoring data) and to learn about best practices and how they can be replicated initiatives. Ensure data collection, analysis, learning and knowledge management from the Collaborative run charts) Coordinate and participate with M&E staff for indicator development, data collection activities
should:
Statistica; SPSS; Excel Data Analysis Toolpack; R; E-Views; MS Office; AtlasTI; and NVivo.
CLOSING DATE FOR
member of a team.