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will hold a relevant PhD/Dphil in statistics, machine learning or similar area, together with relevant experience working with brain imaging data and possess sufficient specialist knowledge in brain
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integrated with the NiMARE (NMA) software project. To be considered you will hold a relevant PhD/Dphil in statistics, machine learning or similar area, together with relevant experience working with brain
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of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our
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analysis in R or similar (e.g. mixed models, machine learning). Preferably, you have experience with collecting neuroimaging data and/or pharmacological studies. Preferably, you have previous experience as a
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 16 hours ago
for scientists in cognitive neuroimaging. The IDP further aims to establish a common vision between student and supervisor of the roadmap towards the successful PhD project, while at the same time minimising
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relevant Masters qualification in an appropriate subject (e.g. Psychology, Neuroscience, Neuro-engineering, or related fields). Experience with (or a strong interest to learn) computer programming is highly
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. Research methods include computational modelling, brain imaging (fMRI), machine learning, behavioural methods, and other techniques. Virtually everything we sense, think and do is uncertain. For instance
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. Meritorious for the position are Specific interest in dementia and aging. Fluency in computational programming, preferably using python or R. Experience in statistical modeling and/or AI/machine learning
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. The PhD student will work with a unique clinical dataset from the Athinoula A. Martinos Center for Biomedical Imaging at Harvard Medical School (Boston, US), a global leader in neuroimaging research
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degree in a relevant discipline (cognitive neuroscience, neuroscience, computational neuroscience, psychology, cognitive science, machine learning/data science/AI). Start date: 1 October 2025 Funding