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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
-planning and implementation of the research program using a mixed-methods approach to analyze embedded principles or "instructional biases" in general LLMs (Large Language Models) and education-specific
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number A244-25 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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setups and instrumentation, in particular in-situ computer tomography Proficiency in one or more programming languages relevant to the task (e.g., Python, Matlab, LabVIEW, C++) Experience in programming
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skills, excellent organizational abilities, and the capacity to plan and execute experiments independently and adaptively. Fluency in spoken and written English. Willingness to supervise students in
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truly meaningful.“ Get to know us Benefits Career Development: Postdoc program, scientific training & career center with tailored offers Scientific Resources: State-of-the-art infrastruture and Core
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis a Experience in energy storage Experience with programming languages (ideally Python), SPS controls system Fluent
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team, supported by the Max Planck Society. Our working language is English; knowledge of German is not required. The Max Planck Institute for Multidisciplinary Sciences places strong emphasis
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Deadline 31 Dec 2025 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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The Max Planck Institute of Biophysics is a leading international research institute that uses biophysical, biochemical and computational methods to investigate the structure, dynamics and function
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, parameterization, simulation experiments, and output analysis very good programming skills in at least one language (e. g., R, Python, C++, or Julia) a strong interest in interdisciplinary work (e. g., demonstrated