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programs targeting neurobiological disorders. Required Certification, Licensure/Other Credentials Preferred Qualifications Research experience in using in vivo neuroimaging and machine learning techniques
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be found on our lab website: https://www.derosierelab.com/ Salary and benefits: ~€2300 net per month for candidates with less than 2 years post-PhD experience; €2450+ net per month for candidates with
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to make a start with your teaching portfolio and dedicate 10% of your working time to teaching in the psychology curriculum. Would you like to learn more about what it’s like to pursue a PhD at Radboud
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development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information
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) Experience with behavioural and neuroimaging (fMRI, M/EEG) data design/collection/analysis Experience in machine learning and AI A collaborative approach to doing science and willingness to help other lab
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electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
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computational models, applying statistical and machine learning methods, and integrating data across modalities to generate novel scientific insights. The Postdoctoral Fellow will lead manuscript preparation
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computational models, applying statistical and machine learning methods, and integrating data across modalities to generate novel scientific insights. The Postdoctoral Fellow will lead manuscript preparation
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing