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: Minimum Qualifications: Master's degree in Civil Engineering, Computer Science, Data Science, or a closely related field Proficiency in Python programming Experience with Jupyter Notebook and/or Google
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responsibilities Conduct and support research in computational neuroscience, neuroimaging, and machine learning. Data management, preprocessing and analytics for large-scale neuroimaging datasets. Contribute
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) Résumé or CV (3) Official or unofficial transcript (4) Analytic writing sample of 20 pages or less (5) Names and contact information for three references Materials must be submitted by April 15, 2026
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or CV (3) Official or unofficial transcript (4) Analytic writing sample of 20 pages or less (5) Names and contact information for three references Materials must be submitted by April 15, 2026, at 11:59pm
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transcript (4) Analytic writing sample of 20 pages or less (5) Names and contact information for three references Materials must be submitted by April 15, 2026, at 11:59pm Eastern. Applications will be
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Simulation – Data Analytics and Machine Learning (IAS-8) at Forschungszentrum Jülich, which is dedicated to pushing the boundaries of data science theory and application. Our research spans from use-inspired
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years. Responsibilities include supporting research projects by extracting, organizing, and interpreting data from various sources for problems of limited scope; working under supervision and in
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. Assist with data collection and analysis to support governance processes and reporting. Participate in other various special projects as needed. Your general location of work will be in the CGPS offices
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a theoretical, computational, or experimental researcher who conducts leading-edge research in the fields of Physical Chemistry, Analytical Chemistry, Biological Chemistry, Information Chemistry, or
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field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell data analysis