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to the TEMPREAD project, investigating the spatiotemporal and structural dynamics of reading networks using advanced neuroimaging methods. The position offers interdisciplinary training in behavioral, functional
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and advanced computational approaches, with a strong focus on metabolomics and artificial intelligence. The PhD candidate will: Conduct research as defined in the project’s research plan. Contribute
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projects under senior supervision (2) Exchanging knowledge with the scientific community and the general public (3) Network-wide training in theory and methods (4) Complementary training courses (5
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interdisciplinary training in theoretical language models, clinical approaches, AI methods (e.g., NLP), and neuroimaging, with opportunities to participate in network-wide events and international training activities
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supervision (2) Exchanging knowledge with the scientific community and the general public (3) Network-wide training in theory and methods (4) Complementary training courses (5) Involvement in proposal writing
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thalamocortical networks in humans and elucidate their critical roles in cognitive functioning, as well as in developmental and neurodegenerative disorders, thereby advancing our understanding of brain health and
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. Tasks: Estimate genetic correlations, polygenic risk scores, prediction of causal genes, prediction of differential expression in brain, and construction of gene networks. Bioinformatic analyses will be
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or equivalent Skills/Qualifications Valued/Preferred qualifications: Experience in software solution development Experience with machine learning models Experience in R&D&I projects (Research, Development and
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of the candidate’s profile: 35% Additional comments OTM-R. The ICP endorses the principles of the European Charter for Researchers and Code of Conduct for the Recruitment of Researchers that define the EU Human
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part of an international network of 13 research labs located throughout Europe who work on the EU funded HUM.AI.N-ACCENT project. The full consortium count with a total of 24 academic and non-academic