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Research Fellow in AI methods for robotic body-brain co-design Apply for this job See advertisement About the position Position as Postdoctoral Research Fellow available at Department of Informatics
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monitoring program over several years. Different additional methods, including molecular-biological, optical and acoustic methods (both on plankton and nekton) may be used to complement these datasets
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latency reductions are not sufficient due to physical as well as resource limitations. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked
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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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vaccination registries to emulate target trials and apply advanced causal inference methods to estimate real-world vaccine effectiveness—particularly in pregnant women and other vulnerable groups—across
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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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of individual heterogeneity, estimation using machine learning methods and particular challenges present when studying infectious diseases. An overall goal of the project is to improve current practice in
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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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will develop an end-to-end framework that links advanced optical spectroscopy (including laser-based methods such as Raman and complementary NIR/MIR techniques) to state estimation and autonomous
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lead the project’s computational work package and develop the pipeline that operationalizes the theory and supports perceptual studies. This includes: contributing to method development on rhythm