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in Film See Department website here: https://www.humboldt.edu/art-film Courses/Areas of Specialization Course areas offered by the department include Art Education, Art History, Art Studio, Digital
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for this position. More About This Job Preferred Qualifications: Familiar with genomics assays and their computational pipelines, image processing (segmentation, spot calling, drift correction). Exceptional
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deadlines. • Ability to work independently, and to be an accomplished team player. Preferred Qualifications • MS or PhD in chemistry, physics, materials science, engineering, or a related physical science or
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with industry expertise. Organize workshops, mentor “Office Hours,” and other events to prepare student teams for the Challenge. Oversee the student prototype funding process when it returns from
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Job Purpose To make a leading contribution to an exciting new UKRI funded project to develop ‘Ultrasound-Guided Activation and Imaging of Engineered Bacteria for Stroma Reprogramming’, working with
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 2 months ago
, including soil organic matter analyses and 3D image processing. - Programming skills in R or Python to automate image analysis, build a classification, with the aim of making the reference framework
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-quality images with faster acquisition time. It has advanced coil technology with a range of options that can be adapted for various anatomical regions and imaging needs and offers sophisticated imaging
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use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for microscopy image analysis are especially relevant. Include a link
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into their research programs. The position supports the MIBAM initiative by facilitating experimental design, guiding technology selection, coordinating spatial workflows across institutional core facilities, and
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-to-date taxonomic expertise and exposure to innovative and automated image processing and morphometric techniques, as well as fossil identification involving Artificial Intelligence. A pilot study will be