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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
the specific motifs necessary to drive specific reactions inside compartments and use this knowledge to taylor IDPs for enhanced biocatalysis. Your profile Eligible candidates have strong skills in molecular
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and
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outstanding key performance indicators. Your tasks in detail: Contribute to develop an innovative process for the autothermal dehydrogenation of LOHC using fundamental knowledge of chemical engineering
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The Cognitive Ethology Lab at the German Primate Center (DPZ) is searching for a motivated research assistant to conduct behavioral observations of wild Guinea baboons in the Niokolo-Koba National
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: university and, if applicable, PhD degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects basic knowledge of computer programming (e.g. Python, Matlab and C++) excellent
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Knowledge in the field of spectroscopic analysis desirable Knowledge of hydrogen and energy research is an advantage Independent and self-motivated way of working High motivation to complete the doctorate
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engineering Willingness to work in laboratory and cleanroom environments Ideally, initial experience in a technical or scientific environment (e.g. cleanroom, laboratory) Knowledge of solid state physics and/or
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experience and enthusiasm for experimental work Basic knowledge of instrumental and preparative chromatography Fluent in written and spoken English Confident handling of common analytical software (e.g. Excel
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27.06.2025 Application deadline: 20.07.2025 The following position is available in the newly established Collaborative Research Center 1718 “Common Ground: Cognition – Grammar – Communication
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profile A completed PhD in psychology, educational measurement, statistics, or a related field Solid knowledge of psychometrics and experience with statistical software (e.g., R) Strong interest in