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& Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame
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-edge optical microscopy systems for biomedical applications. This project involves the development of compact, label-free quantitative tomography systems and inverse scattering algorithms to push the
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impact society to understanding where these impacts occur, how they unfold in real-world settings, and who may be affected. In Europe, these concerns have led to major regulatory developments, most notably
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to investigate how to design AI artefacts, including user interfaces and algorithms, through participatory approaches that actively involve stakeholders (e.g., technology designers and actors from
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to understanding where these impacts occur, how they unfold in real-world settings, and who may be affected. In Europe, these concerns have led to major regulatory developments, most notably the EU AI
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in the Phi_Lab, led by Dr. Azeem Ahmad, and will focus on the development of advanced reconstruction algorithms and next-generation quantitative optical microscopy and tomography systems for imaging
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of work is Department of Technology Systems at Kjeller, Lillestrøm. Job description The person hired in the position will work on theoretical algorithms for robust multiagent system coordination, and
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industry partners to develop new technologies supporting the objectives of the EU Chips Act. The project focuses on strengthening Europe’s capabilities in semiconductor technologies and intelligent computing
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-year postdoctoral position that gives you the opportunity to develop a strong profile as researcher. You will also gain valuable experience that might be relevant for your further career. The purpose
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the Faculty of Medicine and Health Sciences at NTNU. It was established as a Centre of Excellence in 2002, 2012, and again in 2023. Our Centre of Excellence, the Center for Algorithms in the Cortex (https