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improve the reliability of haemodynamic metrics derived from Flow MRI, enabling their direct use in clinic to support cardiovascular disease management. Expected Outcomes Develop a novel machine learning
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for the position. Preferred selection criteria Experience with machine learning and neural networks Basic knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux
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development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with machine learning and neural networks Basic
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
interacts with the prefrontal cortex to integrate interoceptive signals and guide higher-order cognition. Combining ultra-high-field layer fMRI at 9.4 Tesla, diffusion MRI, and machine learning in humans with
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, longitudinal modelling, machine learning and multivariate approaches. Proficiency in programming (e.g., MATLAB, Python, or R), handling large datasets, and working with complex analysis 2 pipelines is an
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 8 hours ago
. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
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CEC College of Engineering and Computing State Pay Range G11 USC Market Range MRI - $71,310 $89,137 $106,965 Anticipated Hiring Range $71,310 - $90,000 Location of Vacancy Part/Full Time Full Time Hours
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CEC College of Engineering and Computing State Pay Range G11 USC Market Range MRI - $71,310 $89,137 $106,965 Anticipated Hiring Range $71,310 - $90,000 Location of Vacancy Part/Full Time Full Time Hours
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5 Sep 2026 Job Information Organisation/Company Radboud University Medical Center (Radboudumc) Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher
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focusing on elucidating neural (e.g., EEG/ERPs, MRI), behavioral, and real-time markers (e.g., passive sensor data, EMA) of depression and suicidal behaviors in adolescents. The positions are full-time