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teaching traditional and digital photographic processes. Secondary expertise in video and digital imaging is desirable. This is a nonrenewable, full-time, nine-month (academic year) appointment with a start
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rate of pay is listed in the collective bargaining agreement here: https://hr.cornell.edu/sites/default/files/2023-04/uaw.pdf and starts at $29.47/hour. No relocation assistance is provided
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associated with a poor prognosis. Ect2 modulates the contractility of the actin cytoskeleton by locally activating RhoA and plays a role in multiple cellular processes including cell division, DNA repair and
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procedures. Job Description Primary Duties & Responsibilities: Performs nuclear medicine imaging and therapy (preparing the dose, administration, camera QC, etc.). Primary liaison to PI in developing plans
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
Posting Information Posting Information Department Biomedical Res Imaging Ctr-426001 Career Area Research Professionals Is this an internal only recruitment? No Posting Open Date 03/12/2026
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the excellence cluster Your profile PhD in physics or in a related discipline experience in phase contrast or coherent X-ray imaging advanced programming skills in a high-level computer language (Python or related
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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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consistency and update visual assets. Image Editing: Edit and enhance photos for digital and print use. Concept Development: Contribute to brainstorming and idea generation. Collaboration: Work closely with
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Description The Language and Cognition team at the Center for Integrative Neuroscience and Cognition (INCC, https://incc-paris.fr/language-and-cognition/ ) at Paris Cité University is inviting applications
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project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will