1,464 data-"https:"-"https:"-"https:"-"https:"-"L2CM"-"L2CM" positions at Stony Brook University
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, or related field. Two (2) years of full-time experience in optical instrumentation, data acquisition, and data analysis. Experience with programming for instrument control and data acquisition using MATLAB and
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Project Aide Required Qualifications (as evidenced by an attached resume): High School Diploma/G.E.D (foreign equivalent or higher). Experience with the National Information Reporting System (NIRS
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phytoplankton, water quality monitoring and related topics. Experience with cyanobacteria and harmful algal bloom. Experience with working with high throughput sequencing data sets. Experience synthesizing large
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higher education or professional office setting. Experience managing complex data sets and generating reports. Proficiency with Microsoft Office Suite and database management Preferred Qualifications
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higher education or professional office setting. Experience managing complex data sets and generating reports. Proficiency with Microsoft Office Suite and database management Preferred Qualifications
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Job Description Required Qualifications (as evidenced by an attached resume): High School Diploma/G.E.D (foreign equivalent or higher). Experience with the National Information Reporting System (NIRS
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in phytoplankton, water quality monitoring and related topics. Experience with cyanobacteria and harmful algal bloom. Experience with working with high throughput sequencing data sets. Experience
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Project Aide Required Qualifications (as evidenced by an attached resume): High School Diploma/G.E.D (foreign equivalent or higher). Experience with the National Information Reporting System (NIRS
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Project Aide Required Qualifications (as evidenced by an attached resume): High School Diploma/G.E.D (foreign equivalent or higher). Experience with the National Information Reporting System (NIRS
-
in phytoplankton, water quality monitoring and related topics. Experience with cyanobacteria and harmful algal bloom. Experience with working with high throughput sequencing data sets. Experience