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Field
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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is expected that the postdoc in this position will seek funding (e.g., an NIH NRSA award) for continuing the position after the first year. Applicants must have completed the PhD by the date
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. The second position will be offered to a candidate with a desire to implement deep learning algorithms on clinical hardware (either developing new imaging hardware or implementing deep learning approaches
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.) during medical imaging and radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these
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at http://www.icgi.no and http://www.domore.no. The position is based in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five
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on the developed models for agencies/commercial partners Supervise junior researchers and master students Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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Fellow in Deep learning for subsurface imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep learning for subsurface imaging available at Department
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no later than October 1, 2026. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis
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UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in Deep learning for imaging of marine ecosystems Apply for this job See advertisement About the position