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different parameterizations for the sea ice redistribution transfer function Apply machine learning methods to identify optimal model parameters that can be used in large-scale sea ice simulations (either
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programming and computational modelling as core elements. Questions about the position For further information please contact: Anthony Mathelier Assistant Centre Director anthony.mathelier@ncmbm.uio.no
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degree in psychology, developmental science or cognitive science or similar domain training and experience with at least one technical research method for gathering or analyzing data (e.g., eye tracking
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of excellence. The main focus will be on developing novel voice and language-based natural language processing (NLP) methods for languages with less data than ideal for the development of cognitive tests
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). Potential other methods include laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS), Raman spectroscopy, time of flight secondary ion mass spectrometry (ToF-SIMS), electron microscopy (EM
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microbial genomics, atomic force microscopy combined with vertical scanning interferometry (ATM-VSI), x-ray diffraction (XRD). Potential other methods include laser ablation inductively coupled plasma mass
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An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . The positions aim is to
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the relevant topics of the PhD project and associated areas such as experimental design, laboratory methods, as well as statistical analysis. The candidate must have the ability to work independently and at
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on information presentation methods for (re)building and maintaining situation awareness when interacting with AI-enabled systems. Ethics in Human-AI teaming: Addressing ethical challenges in AI-assisted decision
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in glacier-fed distal lakes analysed with ultra-high-resolution scanning methods. These results will be compiled into a record of glacier retreat from the LIA to the present within the Scandinavian