Proxima Study

Careers on Proxima Study website are classified according to the National Occupational Classification (NOC) published by Employment and Social Development Canada (ESDC) and Statistics Canada (StatCan)

The reason Proxima Study chose NOC is its simplicity and benefit to all stakeholders:

Employers: NOC helps them understand labor market trends, find qualified candidates, and in job description standardization
Job seekers: in career planning, job search efficiency, and immigration purposes
Government and agencies: in labor market analysis, program administration, and policy development

In essence, the NOC acts as a common language for understanding and describing occupations, benefiting all stakeholders in the Canadian labor market.

NOC is based on a five-tiered hierarchical structure. The first level contains 10 broad occupational categories, the second level is made up of 45 major groups, the third level consists of 89 sub-major groups, the fourth level gathers 162 minor groups, and the last level comprises 516 unit groups. The ten main categories are:

- 0 Legislative and senior management occupations
- 1 Business, finance and administration occupations
- 2 Natural and applied sciences and related occupations
- 3 Health occupations
- 4 Occupations in education, law and social, community and government services
- 5 Occupations in art, culture, recreation and sport
- 6 Sales and service occupations
- 7 Trades, transport and equipment operators and related occupations
- 8 Natural resources, agriculture and related production occupations
- 9 Occupations in manufacturing and utilities

This terminology and the five levels to each category may sound overwhelming, especially for non-Canadians: “Occupational categories”, “Major groups”, “Sub-major groups”, “Minor groups”, and ‘’Unit groups”. To see them in full details on the ESDC website, click here

Sophia Mcintosh

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Supervisor

We offer a wide range of career paths that you will find rewarding, challenging and you'll meet a great team of people on the way.

Hours of work: 30 hours per week

Surf Carnival

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Tesla - Manufacturing

With cells, designing and ramping the manufacturing system is more than 90 percent of the challenge. Help us achieve terawatt-hour-scale by rethinking manufacturing processes and equipment together with our in-house equipment design and fabrication teams.

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Hot Cyber Security

The team connected the facility with the rocket earlier this year, both electrically and mechanically,” said Ryan McKibben, Green Run test conductor at Stennis. “We are now preparing for the second test, which will power on the vehicle’s avionics and the three computers that control the rocket’s flight as it soars into space.” The avionics are distributed throughout the stage. Engineers at Marshall designed software similar to the flight software for Green Run. A special stage controller will be used to simulate the Launch Control Center operations that will control the actual launch at Kennedy Space Center in Florida. The core stage avionics along with Green Run software have successfully completed tests in our test laboratories at Marshall, said Lisa Espy, the core stage avionics lead at Marshall. “I am excited to see the flight systems come to life that will control the rocket as it sends the first Artemis mission to the Moon

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Hot Hot career

Hot Career

Hot Stop Cybercrime

It is the inevitable prefix that currently defines our world. From people's privacy to inter-state relations, the term "cyber" dominates the headlines and discussions - so much so that we risk being paralyzed by the magnitude of the problems we face.

. Build capacities, mainly law enforcement to cover possible legal gaps, particularly in developing countries;

Hot Tesla - Autonomy Algorithms

Develop the core algorithms that drive the car by creating a high-fidelity representation of the world and planning trajectories in that space. In order to train the neural networks to predict such representations, algorithmically create accurate and large-scale ground truth data by combining information from the car's sensors across space and time. Use state-of-the-art techniques to build a robust planning and decision-making system that operates in complicated real-world situations under uncertainty. Evaluate your algorithms at the scale of the entire Tesla fleet.

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