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imaging, the simulation and visualization of volume deformations are essential. The research group Simulations at UiT is offering a PhD position aimed at delving into these complexities. The PhD project
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of Geosciences at UiT. The candidate will also interact with researchers in Visual intelligence (a center for research-driven innovation focusing on novel deep learning-based solutions for complex image analysis
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the principal investigator of the RCN project. In this project, we aim to develop a new quantitative microscopy method called 5DQUIP for imaging dynamic processes in thick samples such as engineered
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is the principal investigator of the RCN project. In this project, we aim to develop a new quantitative microscopy method called 5DQUIP for imaging dynamic processes in thick samples such as engineered
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solutions for complex image analysis) and Integreat (a center of excellence focusing on combining statistics, logic, and machine learning to contribute to more knowledgedriven machine learning). Deep learning
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user partners such as KSAT. The goal is to develop and verify prototype solutions that can be further developed into commercial products. We are therefore seeking a computer scientist with an interest in
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user partners such as KSAT. The goal is to develop and verify prototype solutions that can be further developed into commercial products. We are therefore seeking a computer scientist with an interest in
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imaging, the simulation and visualization of volume deformations are essential. The research group Simulations at UiT is offering a PhD position aimed at delving into these complexities. The PhD project
-
imaging, the simulation and visualization of volume deformations are essential. The research group Simulations at UiT is offering a PhD position aimed at delving into these complexities. The PhD project
-
that converge to establish the technology at field scale. This research project focuses on the design and optimization of the system and potentially production and testing of a small-scale prototype. A parametric