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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 6 hours ago
undertake at ANU. The candidate should have working rights and be available to start by August 2026. Desirable Requirements: Experience in mixed models, experimental design, image analytics, machine learning
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Posting Details Position Details Title Postdoctoral Fellow in Bio-Photonics and optical imaging Appointment Status Non-Tenure Track Department IU Bloomington Intelligent Systems Engineering Location
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% Superannuation (Academic Level A) Based at our St Lucia Campus About This Opportunity Work with the Stehbens Group at AIBN, to conduct molecular, biochemical and live-cell imaging experiments of cell culture
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adapt and change in response to aging and their physical microenvironment. This position offers an excellent opportunity to apply and expand TEM expertise in a collaborative research environment
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, and physical chemistry. Key Responsibilities: Conduct independent research in areas related to material science and engineering in elastomer synthesis, and composites preparation Develop and
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, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell. Online Submission Guidelines: Most positions
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… Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Your profile PhD degree in physics or similar natural science discipline, signal/image processing, or engineering Interest
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by logging into their existing Workday employee account. Position Summary: Florida Atlantic University's Systems and Imaging Laboratory (SAIL) at Harbor Branch Oceanographic Institute in Fort Pierce
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design and implementation of SolMates-specific data models and electronic laboratory notebooks (ELNs) supporting image-based characterization and process monitoring short-term and potentially longer
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The position An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . Goal: Develop