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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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and use a variety of research methods, including offline behavioral experiments, eye-tracking, electroencephalography (EEG), and Magnetic Resonance Imaging (MRI). The research will be of practical
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in Western Norway. A key component of the research will be the integration of remote sensing outputs to assess and classify the activity levels of various catchments. This work will support and refine
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thanotyping (5-D)”, financed by the European Research Council (ERC). The 5-D project will develop methods and digital tools to identify that a person with dementia is at the end of life, aimed to understand
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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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of geomorphological and ecological dynamics. There will be opportunities for cross-disciplinary collaborations with other PhDs within CMT along a regional-scale gradient in Western Norway. A key component of the
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project ”Decoding Death and Dying in People with Dementia by Digital thanotyping (5-D)”, financed by the European Research Council (ERC). The 5-D project will develop methods and digital tools to identify
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will be adapted to the candidate’s background and the evolving needs of the center. Possible directions include the application of rock physics models, Bayesian inversion methods, and machine learning
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transfer function Apply machine learning methods to identify optimal model parameters that can be used in large-scale sea ice simulations (either global parameters, or as a function of existing model
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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