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Field
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, Neuroscience, or a related field. Candidates should have strong skills in statistics. Programming skills (e.g., Python) and experience with PET or MRI imaging and data analysis are desirable. Furthermore
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equivalent) in Psychology, Neuroscience, or a related field. Candidates should have strong skills in statistics. Programming skills (e.g., Python) and experience with PET or MRI imaging and data analysis
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it an advantage if you bring the following: Experience in MRI brain imaging and/or EEG analysis Interviews will take place on December 1st in the afternoon (2:00-4:00 PM) and possibly on December 5th
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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stack data analysis systems and integration of the resulting data according to the data space paradigm. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research
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, Interoperable, Reusable) knowledge that supports health-risk assessment, reporting, and decision-making. You’ll design and prototype scalable data workflows (e.g., ETL/ELT pipelines, data lakes/warehouses
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Max Planck Institute for the Structure and Dynamics of Matter | Hamburg, Hamburg | Germany | 29 days ago
9 Oct 2025 Job Information Organisation/Company Max Planck Institute for the Structure and Dynamics of Matter Department International Max Planck Research School for Ultrafast Imaging and Structural
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 1 month ago
Job Code: PhD 12/25 Job Offer from September 26, 2025 For our research group “Cognitive Neuropsychiatry” at the Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology
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representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers