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-cell genomics, imaging, and molecular biology to uncover the spatial organization of genes in plants, with a core objective of unraveling the communication mechanisms within plant cells. The successful
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related to human-computer interaction and software engineering. Your competencies Applicants should have a strong interest in human-robot interaction and the role of emerging technologies in healthcare
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experience unless stated elsewhere in the job posting. Skills: 3D Imaging, Collaboration, Communication, Computer Coding, Data Analysis, Data Interpretations, Data Science, Electroencephalogram (EEG
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of frameworks/toolboxes such as pytorch, tensorflow, and matlab's computer vision toolbox; basic knowledge of information visualization and/or digital image processing; knowledge of computer science; basic
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and Licensed by the State of Arkansas in Radiology Technology. Knowledge, Skills, & Abilities: Strong knowledge of radiographic imaging techniques and patient care protocols. Ability to work
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California State University, Los Angeles | Los Angeles, California | United States | about 15 hours ago
for the rights and sensibilities of each individual. The Department/Division School: The Department of Civil Engineering (https://www.calstatela.edu/ecst/ce) is in the College of Engineering, Computer Science, and
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program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc.) during medical imaging and
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of this class is to perform administrative and technical work in support of the College's computing and/or network infrastructure. Associates degree and three years of experience in systems engineering or
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workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients, equipment, or materials
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, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with