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personalized sound-based health interventions Multimodal imaging studies combining neuroimaging with acoustic analysis to map music-brain interactions Our tenure and promotion process values collaborative
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, artificial intelligence—and particularly machine learning methods—has become indispensable. Depending on the specialty, processed data may include numerical values, point clouds, text or images, often
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. Interest and experience in working with industrial problems will be considered an advantage. Experience with data processing/analysis. Personal characteristics To complete a doctoral degree (PhD), it is
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description. This PhD project aims to develop computational and image-analysis approaches for quantitative characterization of cytoskeletal organization, polarity, and flow dynamics in single metastasizing
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Profile Recognised Researcher (R2) Established Researcher (R3) Positions PhD Positions Application Deadline 7 Apr 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time
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strains, imaging fungal growth and mineral dissolution processes, and analyzing chemical effluent and mineral weathering products. In addition, the postdoctoral researcher may have opportunities
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on electrophysiological approaches (MEEG, iEEG) and signal processing, while in Maastricht, the partner team provides ultra-high-field imaging (7T and 9.4T fMRI) and AI-based modeling. The PhD student will be enrolled
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), e. a cumulative IF above 30, 2) experience and skills in the processing of medical signals and images, multimodal data, implementation of deep learning methods, data science, 3) programming skills and
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Previous Job Job Title Post-Doctoral Associate - Quantitative Imaging & Human Retroviruses Next Job Apply for Job Job ID 371962 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 2 months ago
environmental factors shape these processes across the adult lifespan. The advertised PhD position is embedded in the ANR-DFG funded international collaborative project “Multi-SVD-glyph”, conducted in partnership