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new cell-based experiments to effectively and efficiently address the needs of the postdoc project Support evaluation of cell-based technologies including image analysis, transcriptomics, and biomarker
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. The Digital and Computational Pathology Laboratory in PCS is seeking a talented and motivated postdoctoral fellow to develop cutting-edge methodologies in computer vision and AI to power whole slide image
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, re-apply if you significantly improve crucial aspects of the rejected application. The selection procedure Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification
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, prototype and pressure-test new ideas to reduce time between iterations Quick learner, are curious about new areas and the opportunity to build expertise, and courageously boldly and creatively take
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technology, and ethics. You will be also part of the Digital Signal Processing and Image Analysis (DSB) group in the Department of Informatics at UiO. Francesco Saggio/UiO via Unsplash Francesco Saggio/UiO
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targeting neuroreceptors and neuroimmune pathways. The successful candidate will employ a combination of in vitro tissue assays and in vivo imaging techniques to characterize the pharmacological properties
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
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Mentorship & Collaboration Structure Postdocs will have three WPI-SKCM² mentors. Primary Mentor: A PI from your primary thrust, such as Quantum Matter, Particle & Nuclear Physics & Cosmology, Soft Matter
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practically and postdocs Are you working academically or practically in climate protection or climate-relevant resource conservation in your country of origin – a non-European developing or transition country
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the Digital Signal Processing and Image Analysis (DSB) group in the Department of Informatics at UiO. Francesco Saggio/UiO via Unsplash Francesco Saggio/UiO What skills are important in this role? The Faculty