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hepatocellular carcinoma (HCC) and neuroendocrine tumors (NETs). Current research efforts emphasize characterization of the tumor microenvironment and its dynamic interactions with cancer cells, stromal elements
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School of Art Department Homepage https://art.ecu.edu/ Advertising Department ART, SCHOOL OF Division Academic Affairs Classification Title Teaching Instructor/Teaching Assistant Professor Working Title
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 2 months ago
the preliminary rejection of the application. Preferential conditions: - Proven knowledge/experience in the project’s thematic area, particularly numerical modelling, data analysis and visualization, estuarine
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on the Human Resources website and in the staff performance management system. Physical Requirements (With or Without Accommodations): • Visual acuity to read information from computer screens, forms and other
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(advanced level) and experience extracting data from other databases. Advanced knowledge of Excel capabilities. Innate curiosity for data interpretation, problem resolution, and the use of data visualization
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; Familiarity with planetarium software, astronomical visualization systems, and audiovisual technologies; Experience supervising student employees, interns, or volunteers; Experience with grant-supported
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Inst Fac): On-site (work in-person at business location) https://apptrkr.com/get_redirect.php?id=7331652&targetURL= Position Summary Love live sports, cutting-edge broadcast technology, and creating
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, Hamilton Holt Deans office and academic departments to ensure coordination of recruitment and enrollment marketing initiatives. Collaborate with Marketing to create a cohesive brand voice, visual consistency
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You will work across the University's facilities and with collaborators via regular interaction with academic and industrial partners to ensure the progress of work adheres to the programme timescales
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environments. Experience with Git/GitHub or other version-control systems. Experience with statistical modeling, machine learning, data visualization, and/or multi-omics integration. Familiarity with human