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School of Medicine Indianapolis Position Summary Postdoctoral Researcher to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis (EHRs, medical imaging
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group known to experience significant challenges including body image concerns, fear of recurrence, relationship and fertility issues, and career disruption. The Research Fellow will work within a team of
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the scope of operation no. 16144, operation code LISBOA2030-FEDER-00729800. Scientific Area Chemical Engineering. Mandatory admission requirements The following may apply: • Holders of a Master’s degree in
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cancer phenotypes, and their potential prognostic value. The project involves cancer cell culture, various molecular and cell biology techniques, chromatin analysis methods, and microscopy imaging. We use
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Grant Regulations of the Foundation for Science and Technology (RBI-FCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code
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-la.pt Street Universidade de Aveiro, Edifício 3, Campus Universitário de Santiago, Postal Code 3810-193 E-Mail ines.rosa@ua.pt STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 17 days ago
Objectives: Under the guidance of a mentor, you will gain skills in and learn to: Design and prototype user-centered interfaces for FDA web applications Conduct user research (stakeholder interviews, usability
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Fellow will have the opportunity to shape the direction of this cutting-edge program at University of Michigan Ann Arbor. Responsibilities* Develop and apply computational pipelines for multiplex imaging
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organoid or 3D culture systems strongly preferred. Familiarity with spatial omics or multiplexed imaging approaches a plus. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are
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Ciência e a Tecnologia, is available under the following conditions: OBJECTIVES | FUNCTIONS This task evaluates the impact of controlled code perturbations on the classification stability and robustness