About Collabera:
Established in 1991, Collabera is one of the fastest growing end-to-end information technology services and solutions companies globally. As a half a billion dollar IT company, Collabera's client-centric business model, commitment to service excellence and Global Delivery Model enables its global 2000 and leading mid-market clients to deliver successfully in an increasingly competitive marketplace.
With over 8200 IT professionals globally, Collabera provides value-added onsite, offsite and offshore technology services and solutions to premier corporations. Over the past few years, Collabera has been awarded numerous accolades and Industry recognitions including.
• Collabera awarded Best Staffing Company to work for in 2012 by SIA. (hyperlink here)
• Collabera listed in GS 100 - recognized for excellence and maturity
• Collabera named among the Top 500 Diversity Owned Businesses
• Collabera listed in GS 100 & ranked among top 10 service providers
• Collabera was ranked:
• 32 in the Top 100 Large Businesses in the U.S
• 18 in Top 500 Diversity Owned Businesses in the U.S
• 3 in the Top 100 Diversity Owned Businesses in New Jersey
• 3 in the Top 100 Privately-held Businesses in New Jersey
• 66th on FinTech 100
• 35th among top private companies in New Jersey
http://www.collabera.com/about_us/accolades.jsp
Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance.
1. Develop a stain colorization QC tool for HSQm project including cell detection, region segmentation and quantitative measurement of colorization quality, and the user interface 2. Work in WBC diff area to research, test and evaluate different algorithms for abnormal patient cases 3. Develop a unified algorithm test bench for algorithm group and system integration/verification groups to use. 4. Work with Martin in research algorithms for optimize and test algorithm performance for PLT and MCV Algorithms development in statistics, and/or signal/image processing and/or image segmentation, and/or computer vision programing in matlab, and/or C/C++/C#, and/or Java,
QualificationsPossesses educational qualifications and work experience as established by engineering schools, employers and licensing authorities for employment in the various disciplines of engineering, i.e. Mechanical, Electrical, Industrial, Manufacturing, Chemical, Quality, etc. Entry level to 3 yrs experience needed.
Additional InformationLooking for candidates in Medical device industry background
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