teaching qualification and specialization in Physical Science
Engineering, BEng Industrial Engineering, BSc Computer Science, BSc Information Technology.
Microsoft Data Science Program
Cohort 2 â Region CAPE TOWN
graduates for The Data Science Program 2024/2025. The program is
is designed to attract young multi-disciplined graduates with no or limited work experience. This provides
organisations the opportunity to groom the Data Science graduate in training to fit into the culture of various
studies
enhance the teaching and research capabilities in physics, the School seeks to appoint suitably qualified computing/ computational /experimental condensed matter physics. The incumbents will be expected to conduct independent and post-graduate levels in physics. The incumbents will report to the Academic Leaders: Physics. Professor Professor A PhD degree in Physics Evidence of excellent teaching experience and leadership in curriculum development discipline Associate Professor A PhD degree in Physics Evidence of appropriate teaching experience and
Need to start immediately
Plastic or rubber manufacturing experience
Must stay in Hammanskraal area on contract
Valid matric certificate
Must have a technical qualification form a F.E.T College
Numerical and reading skills
Communication skills
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Bachelor's degree in Computer Science, Information Systems, or related fields
A
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Bachelor's degree in Computer Science, Information Systems, or related fields
A
their data-driven initiatives as the Head of Data Science. Join a team dedicated to innovation and societal industry trends and emerging technologies in data science and analytics. Drive continuous improvement initiatives or Master's degree in Computer Science, Data Science, Business Science, Information Systems, or a related Proven experience in leading and managing data science teams. Strong understanding of data management
To implement the Analytics standards in allocated business units, that contribute to the monetisation of data through the development and delivery of advanced mathematical models and business principles that find hidden patterns and associations in data used to influence business strategy, inform ch
learning