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University Of Louisiana At Lafayette Work Values
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Daily Duties at University Of Louisiana At Lafayette:
- Work on industry sponsored projects - Manage Lab Equipment and software. - Help students in learning.
What they like about University Of Louisiana At Lafayette:
You give high priority to hiring firms with prestige. Market reputation and prestige of a firm may be determined through on-line research, and conversations with individuals working in your target industry. Note that firms "in the public eye" receive a great deal more critical publicity and attention than those operating with more anonymity. So as you assess your employment opportunities, be sure to seek out the positive aspects of the firm's reputation in addition to noting negative publicity the company may have received.
Tags
Petrel, Eclipse, Abaqus, Matlab, Python, MySQL, Reservoir Engineering, Drilling Engineering, Petroleum Engineer, Techlog, Statistical Analysis
Information about University Of Louisiana At Lafayette
Company Rank: Not Available
Average length of employment : 12 years
Average salary of employees: $50,000
These are some of the questions we asked our climbers about their experiences with University Of Louisiana At Lafayette:
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| Were your performance expectations clearly communicated? | 0.0 |
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| Were you recognized for meeting or exceeding expectations? | 0.0 |
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| Did you feel like your personal contribution was important? | 0.0 |
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| Was your career path clearly outlined and discussed? | 0.0 |
| 03| | ||
| I would recommend this as a place of employment. | 0.0 | |
| I believe in the purpose of this organization. | 0.0 | |
| I would work for this organization again. | 0.0 | |
| I feel employees are fairly compensated. | 0.0 |
Climbers who worked at University Of Louisiana At Lafayette had these interests:
| Books | |
|---|---|
Applied Petroleum Reservoir Engineering |
It introduces key principles of fluid flow, water influx, and advanced recovery (including hydrofracturing). Throughout, it presents field examples demonstrating the use of material balance and history matching to predict reservoir performance. |
