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expand hydrogeological observations during upcoming field campaigns. Potential methods include using noble gases as natural tracers (miniRUEDI) and/or detailed carbon speciation analyses. Research
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large datasets analyses Active participation in LALP Lab activities Required selection criteria You must have completed a doctoral degree in cognitive science or computer design/programming Training and
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, University of Oslo (UiO), within the Convergence Environment ’Methods for knowledge-based biodiversity monitoring and management under uncertainty’ (BioM). Starting date: Between August 15th and October 1st
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of Oslo's vibrant team as a PhD Research Fellow in AI methods for innovative robotics! PhD Research Fellow in AI methods for robotic body-brain co-design Apply for this job See advertisement About the
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with Emerging Interactive Technologies Apply for this job See advertisement About the position Position as PhD Research Fellow in Interaction Design / Human-Computer Interaction available
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on (ground-, soil-)water chemistry and carbon in cold climate zones (e.g. permafrost regions in Finnmark) and to expand hydrogeological observations during upcoming field campaigns. Potential methods include
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on challenges related to computer vision for geophysical image data. You will investigate and develop robust methods for training models, exploring/developing approaches for multimodal data, utilize context
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. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning models that forecast
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cooperation with the Institute of Marine Research. The core of the position will be on development of new deep learning methods for segmentation/classification of data with limited and weak labels. Your may
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actually effective in Europe. To this end, the postdoc will use econometric methods, such as those that have been successfully applied to similar trade datasets. The postdoc will also examine to which extent