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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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designing machine learning pipelines, building web applications or tools, and creating and maintaining visualization dashboards. Trainees should be comfortable with: · SQL, R, and Python
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completely automated, lightly gamified, online assessments that are grounded in ongoing cognitive neuroscience research and validated against the current “gold standard” of standardized, individually
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. degree from an accredited university in biomedical engineering, electrical engineering, neuroscience with interest in imaging sciences or related field. The successful candidate will be self-driven
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neurodegenerative conditions like Alzheimer’s disease (AD). Our researchers integrate brain mapping techniques with machine intelligence and computational biology approaches to investigate how brain alterations
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. Application Materials Current CV with a publication list. A one-page statement outlining how your research experience and interests align with this position and your future research interests. Two letters
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data
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23.05.2022, Academic staff The Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich is looking for an outstanding applicant for a postdoctoral position
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candidate who has the ability to synthesize hybrid materials and organic linkers, perform conductivity measurements, perform spectroscopy measurements, and perform X-ray diffraction analysis. The candidate
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appreciate every application, the high volume of interest means we can only follow up with those whose backgrounds match our current project needs. If you haven't heard back within two weeks, thank you