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Required: Further Info: http://www.csulb.edu/colleges/coe/cecs/ Department of Computer Engineering Computer Science California State University Long Beach 1250 Bellflower Blvd. Long Beach CA 90840
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Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: Outstanding communication skills and interpersonal skills Must present a positive and professional image. Possess
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requirements when taking panoramic and/or cephalometric films. Checks quality of image and reviews with provider before re taking an image, to minimize exposure to radiation. Takes digital photographs as
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. • Provide responsible, positive, sensitive intervention and care during therapy and will work under close supervision of masters level clinical staff. DEVELOP MATERIALS • Create picture cards, books, etc
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, optical engineering, biomedical imaging, interferometry, optical microscopy, optical coherence tomography, automation / robotics, - skills in signal processing (highly advantageous), - motivation to conduct
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, the Research Assistant will provide support in maintaining our existing protocols as well as investigating and recommending relevant process improvements, based on industry best practice. This role is ideally
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3D multiplexed tissue imaging. BAIR supports users at every stage of the imaging process, from experimental design and sample preparation via in-depth training to developing complex automated imaging
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Posting Details Position Information Job Title Admissions Processing Specialist Posting Number S1628P Pay Range Compensation for this position is expected to range between $20.00 and $25.00 per hour
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, such as image processing software, and experience with data analysis and interpretation. Job Location - City, State Philadelphia, Pennsylvania Department / School School of Engineering and Applied
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
of active surface processes. Artificial Intelligence (AI) has the potential to collaboratively focus researchers on candidate regions of interest that otherwise would be obscured by sheer dataset scale