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), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial
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response behavior (such as rapid guessing, cheating, or careless responding), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d
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., for small-sample calibration or for accelerated algorithms), (b) identifying and investigating aberrant response behavior (such as rapid guessing, cheating, or careless responding), (c) estimation methods
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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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., probability, analysis), eager to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves
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of Computer Science and affiliated with the Information Systems and Human–Computer Interaction (ISCHI) research group. Your immediate leader will be the unit leader of the Information Systems and Human–Computer
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is also a Principal Investigator at the Hylleraas Centre for Quantum Molecular Science, a Norwegian Centre of Excellence dedicated to the development and application of advanced computer simulations
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UiO/Anders Lien 15th March 2026 Languages English English English Join the University of Oslo's vibrant team as a PhD Research Fellow in AI methods for innovative robotics! PhD Research Fellow in AI
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over the parameter space) without specifying a model nor a prior. Such methods can in principle be applied to machine learning algorithms in order to get uncertainty estimates for parameters governing
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Research Fellow in AI Methods for Creative Applications Apply for this job See advertisement About the position Position as Postdoctoral Research Fellow available at Department of Informatics, University