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neuroimaging (fMRI, MEG, iEEG) and behavioral data. This PhD position is part of the Natural Auditory Scenes in Humans and Machines (NASCE) project, funded by the ERC Synergy Grant, and hosted at Maastricht
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programming skills in Python (experience with MATLAB or R is a plus). Proven experience with deep learning and machine learning frameworks (e.g., TensorFlow, PyTorch). Background in computational modeling
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machine/deep learning tools for biomarker discovery. Your principal responsibility will be to fulfil all the requirements to obtain a PhD degree at Maastricht University including, but not limited
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well as in a team Excellent programming skills (for example Matlab, Python, R) Excellent machine learning skills Expertise in numerical methods Good oral and written English communication Additional training
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modeling techniques (e.g., growth curve modeling, machine learning, large language models). You have a strong motivation to conduct empirical research with children and adults and an interest in practical
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advanced analysis techniques (e.g., growth curve modeling, machine learning) and/or programming skills. What we offer As Postdoc position: Early prediction of reading problems at the Department Cognitive