Max S Hall from Renton, WA, age 49

Resumes

Line Cook

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Location:

Seattle, WA

Industry:

Food Production

Work:

Elysian Brewing Co
Line Cook

Max Hall

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Location:

Seattle, WA

Industry:

Staffing And Recruiting

Skills:

Contract Recruitment
Temporary Staffing

Max Hall

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Max Hall

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Max Hall

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Property Clerk

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Location:

Seattle, WA

Work:

Aerotek
Property Clerk

Max Hall

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Location:

United States

Property Clerk At Aerotek

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Position:

Property Clerk at Aerotek

Location:

Greater Seattle Area

Industry:

Automotive

Work:

Aerotek
Property Clerk

Wikipedia References

Max Hall

About:

Born:

29 September 1975 • Surrey , England

Work:

His final 2 List A matches came against the Gloucestershire Cricket Board and the Essex Cricket Board in the 1st and 2nd round's of the 2003 Cheltenham & Gloucester Trophy which were held in 2002....

Skills & Activities:

Sport:

English cricket player • Club

Activity:

Cricket

Max Hall

Max Hall (Cricketer)

Real Estate Brokers

Max Hall, Bothell WA

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Specialties:

Buyer's Agent
Listing Agent
Foreclosure
Consulting

Work:

Ryco Group
22614 Bothell_Everett Hwy, Bothell, WA 98012
4257709466 (Office), 4257709466 (Cell)

Name / Title

Company / Classification

Phones & Addresses

Max E Hall
Incorporator

CLEAR CREEK ESTATES, INC

Us Patents

Objective Quality Metric For Ocular Wavefront Measurements
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US Patent:

20150157200, Jun 11, 2015
Filed:

Nov 3, 2014
Appl. No.:

14/531926
Inventors:

- Aliso Viejo CA, US
Thomas D. Padrick - Seattle WA, US
Max Hall - Corona CA, US
International Classification:

A61B 3/00
A61B 3/10
Abstract:

A system and method for determining an objective quality metric for image data collected by a wavefront aberrometer. The method may include quantifying a plurality of characteristics of the image data and calculating the objective quality metric based on the quantified characteristics of the image data. The objective quality metric can be a weighted sum of the quantified characteristics of the image data. The weightings for the weighted sum can be determined based on subjective quality metrics assigned to a set of training image data by a human expert.