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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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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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Development (LED) Work, Health and Performance (WHP) In the document, at the very end of the vacancy text (under 'Attachment'), you will find specific information about the four PhD positions. Please read
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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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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
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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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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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laboratory activities in compliance with applicable regulations and protocols. Conducts literature searches and reviews, compiling information for journals and suggesting uses for new techniques to the P.I
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into the open-source CADET simulation framework, enabling fully predictive process simulations without extensive experimental calibration. Embedded in the Helmholtz Graduate School for Data Science in Life, Earth